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Title: GitHub - lowTechnology/ImageProcessing100Wen: 「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。 · GitHub

Open Graph Title: GitHub - lowTechnology/ImageProcessing100Wen: 「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。

X Title: GitHub - lowTechnology/ImageProcessing100Wen: 「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。

Description: 「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。. Contribute to lowTechnology/ImageProcessing100Wen development by creating an account on GitHub.

Open Graph Description: 「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。. Contribute to lowTechnology/ImageProcessing100Wen development by creating an account on GitHub.

X Description: 「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。. Contribute to lowTechnology/ImageProcessing100Wen development by creating an account on GitHub.

Opengraph URL: https://github.com/lowTechnology/ImageProcessing100Wen

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Question_21_30https://github.com/lowTechnology/ImageProcessing100Wen/tree/master/Question_21_30
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Question_31_40https://github.com/lowTechnology/ImageProcessing100Wen/tree/master/Question_31_40
Question_41_50https://github.com/lowTechnology/ImageProcessing100Wen/tree/master/Question_41_50
Question_41_50https://github.com/lowTechnology/ImageProcessing100Wen/tree/master/Question_41_50
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https://github.com/lowTechnology/ImageProcessing100Wen#图像处理-100-问
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Matplotlib和OpenCV的Tipshttps://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Image_processing_tips.ipynb
https://github.com/lowTechnology/ImageProcessing100Wen#问题
问题1 - 10https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen#问题1---10
通道替换https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_1.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers_cpp/answer_1.cpp
灰度化(Grayscale)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_2.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers_cpp/answer_2.cpp
二值化(Thresholding)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_3.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers_cpp/answer_3.cpp
大津二值化算法(Otsu's Method)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_4.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers_cpp/answer_4.cpp
$\text{HSV}$变换https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_5.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers_cpp/answer_5.cpp
减色处理https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_6.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers_cpp/answer_6.cpp
平均池化(Average Pooling)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_7.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers_cpp/answer_7.cpp
最大池化(Max Pooling)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_8.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers_cpp/answer_8.cpp
高斯滤波(Gaussian Filter)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_9.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers_cpp/answer_9.cpp
中值滤波(Median Filter)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_10.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers_cpp/answer_10.cpp
问题11 - 20https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/README.md
https://github.com/lowTechnology/ImageProcessing100Wen#问题11---20
均值滤波器https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers/answer_1.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers_cpp/answer_1.cpp
Motion Filterhttps://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers/answer_2.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers_cpp/answer_2.cpp
MAX-MIN滤波器https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers/answer_3.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers_cpp/answer_3.cpp
差分滤波器(Differential Filter)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers/answer_4.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers_cpp/answer_4.cpp
Sobel滤波器https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers/answer_5.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers_cpp/answer_5.cpp
Prewitt滤波器https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers/answer_6.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers_cpp/answer_6.cpp
Laplacian滤波器https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers/answer_7.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers_cpp/answer_7.cpp
Emboss滤波器https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers/answer_8.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers_cpp/answer_8.cpp
LoG滤波器https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers/answer_9.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers_cpp/answer_9.cpp
直方图https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_01_10/answers/answer_10.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_11_20/answers/answer_10.py
问题21-30https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen#问题21-30
直方图归一化(Histogram Normalization)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers/answer_1.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers_cpp/answer_1.cpp
直方图操作https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers/answer_2.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers_cpp/answer_2.cpp
直方图均衡化(Histogram Equalization)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers/answer_3.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers_cpp/answer_3.cpp
伽玛校正(Gamma Correction)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers/answer_4.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers_cpp/answer_4.cpp
最邻近插值(Nearest-neighbor Interpolation)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers/answer_5.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers_cpp/answer_5.cpp
双线性插值(Bilinear Interpolation)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers/answer_6.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers_cpp/answer_6.cpp
双三次插值(Bicubic Interpolation)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers/answer_7.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers_cpp/answer_7.cpp
仿射变换(Afine Transformations)——平行移动https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers/answer_8.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers_cpp/answer_8.cpp
仿射变换(Afine Transformations)——放大缩小https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers/answer_9.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers_cpp/answer_9.cpp
仿射变换( Afine Transformations )——旋转https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers/answer_10.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_21_30/answers_cpp/answer_10.cpp
问题31-40https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen#问题31-40
仿射变换(Afine Transformations)——倾斜https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers/answer_1.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers_cpp/answer_1.cpp
傅立叶变换(Fourier Transform)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers/answer_2.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers_cpp/answer_2.cpp
傅立叶变换——低通滤波https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers/answer_3.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers_cpp/answer_3.cpp
傅立叶变换——高通滤波https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers/answer_4.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers_cpp/answer_4.cpp
傅立叶变换——带通滤波https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers/answer_5.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers_cpp/answer_5.cpp
JPEG 压缩——第一步:离散余弦变换(Discrete Cosine Transformation)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers/answer_6.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers_cpp/answer_6.cpp
峰值信噪比(Peak Signal to Noise Ratio)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers/answer_7.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers_cpp/answer_7.cpp
JPEG 压缩——第二步:离散余弦变换+量化https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers/answer_8.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers_cpp/answer_8.cpp
JPEG 压缩——第三步:YCbCr 色彩空间https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers/answer_9.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers_cpp/answer_9.cpp
JPEG 压缩——第四步:YCbCr+DCT+量化https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31_40/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers/answer_10.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_31-40/answers_cpp/answer_10.cpp
问题41-50https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen#问题41-50
Canny边缘检测:第一步——边缘强度https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers/answer_1.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers_cpp/answer_1.cpp
Canny边缘检测:第二步——边缘细化https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers/answer_2.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers_cpp/answer_2.cpp
Canny边缘检测:第三步——滞后阈值https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers/answer_3.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers_cpp/answer_3.cpp
霍夫变换(Hough Transform)/直线检测——第一步:霍夫变换https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers/answer_4.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers_cpp/answer_4.cpp
霍夫变换(Hough Transform)/直线检测——第二步:NMShttps://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers/answer_5.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers_cpp/answer_5.cpp
霍夫变换(Hough Transform)/直线检测——第三步:霍夫逆变换https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers/answer_6.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers_cpp/answer_6.cpp
形态学处理:膨胀(Dilate)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers/answer_7.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers_cpp/answer_7.cpp
形态学处理:腐蚀(Erode)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers/answer_8.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers_cpp/answer_8.cpp
开运算(Opening Operation)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers/answer_9.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers_cpp/answer_9.cpp
闭运算(Closing Operation)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41_50/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers/answer_10.py
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_41-50/answers_cpp/answer_10.cpp
问题51-60https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen#问题51-60
形态学梯度(Morphology Gradient)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51-60/answers/answer_1.py
顶帽(Top Hat)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51-60/answers/answer_2.py
黑帽(Black Hat)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51-60/answers/answer_3.py
使用误差平方和算法(Sum of Squared Difference)进行模式匹配(Template Matching)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51-60/answers/answer_4.py
使用绝对值差和(Sum of Absolute Differences)进行模式匹配https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51-60/answers/answer_5.py
使用归一化交叉相关(Normalization Cross Correlation)进行模式匹配https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51-60/answers/answer_6.py
使用零均值归一化交叉相关(Zero-mean Normalization Cross Correlation)进行模式匹配https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51-60/answers/answer_7.py
$4-$邻域连通域标记https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51-60/answers/answer_8.py
$8-$邻域连通域标记https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51-60/answers/answer_9.py
透明混合(Alpha Blending)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51_60/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_51-60/answers/answer_10.py
问题61-70https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
https://github.com/lowTechnology/ImageProcessing100Wen#问题61-70
$4-$连接数https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61-70/answers/answer_1.py
$8-$连接数https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61-70/answers/answer_2.py
细化处理https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61-70/answers/answer_3.py
Hilditch 细化算法https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
Zhang-Suen 细化算法https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61-70/answers/answer_5.py
方向梯度直方图(HOG)第一步:梯度幅值・梯度方向https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61-70/answers/answer_6.py
方向梯度直方图(HOG)第二步:梯度直方图https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61-70/answers/answer_7.py
方向梯度直方图(HOG)第三步:直方图归一化https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61-70/answers/answer_8.py
方向梯度直方图(HOG)第四步:可视化特征量https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61-70/answers/answer_9.py
色彩追踪(Color Tracking)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61_70/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_61-70/answers/answer_10.py
问题71-80https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen#问题71-80
掩膜(Masking)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71-80/answers/answer_1.py
掩膜(色彩追踪(Color Tracking)+形态学处理)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71-80/answers/answer_2.py
缩小和放大https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71-80/answers/answer_3.py
使用差分金字塔提取高频成分https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71-80/answers/answer_4.py
高斯金字塔(Gaussian Pyramid)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71-80/answers/answer_5.py
显著图(Saliency Map)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71-80/answers/answer_6.py
Gabor 滤波器(Gabor Filter)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71-80/answers/answer_7.py
旋转 Gabor 滤波器https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71-80/answers/answer_8.py
使用 Gabor 滤波器进行边缘检测https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71-80/answers/answer_9.py
使用 Gabor 滤波器进行特征提取https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71_80/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_71-80/answers/answer_10.py
问题81-90https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen#问题81-90
Hessian 角点检测https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81-90/answers/answer_1.py
Harris 角点检测第一步:Sobel + Gausianhttps://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81-90/answers/answer_2.py
Harris 角点检测第二步:角点检测https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81-90/answers/answer_3.py
简单图像识别第一步:减色化+直方图https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81-90/answers/answer_4.py
简单图像识别第二步:判别类别https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81-90/answers/answer_5.py
简单图像识别第三步:评估https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81-90/answers/answer_6.py
简单图像识别第四步:k-NNhttps://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81-90/answers/answer_7.py
k-平均聚类算法(k -means Clustering)第一步:生成质心https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81-90/answers/answer_8.py
k-平均聚类算法(k -means Clustering)第二步:聚类https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81-90/answers/answer_9.py
k-平均聚类算法(k -means Clustering)第三步:调整初期类别https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81_90/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_81-90/answers/answer_10.py
问题91-100https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen#问题91-100
利用 k-平均聚类算法进行减色处理第一步:按颜色距离分类https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91-100/answers/answer_1.py
利用 k-平均聚类算法进行减色处理第二步:减色处理https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91-100/answers/answer_2.py
准备机器学习的训练数据第一步:计算 IoUhttps://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91-100/answers/answer_3.py
准备机器学习的训练数据第一步:随机裁剪(Random Cropping)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91-100/answers/answer_4.py
神经网络(Neural Network)第一步:深度学习(Deep Learning)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91-100/answers/answer_5.py
神经网络(Neural Network)第二步:训练https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91-100/answers/answer_6.py
简单物体检测第一步----滑动窗口(Sliding Window)+HOGhttps://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91-100/answers/answer_7.py
简单物体检测第二步----滑动窗口(Sliding Window)+ NNhttps://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91-100/answers/answer_8.py
简单物体检测第三步----非极大值抑制(Non-Maximum Suppression)https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91-100/answers/answer_9.py
简单物体检测第三步----评估 Precision, Recall, F-score, mAPhttps://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91_100/README.md
https://github.com/lowTechnology/ImageProcessing100Wen/blob/master/Question_91-100/answers/answer_10.py
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