René's URL Explorer Experiment


Title: GitHub - lhol/JImageHash: Perceptual image hashing library used to match similar images · GitHub

Open Graph Title: GitHub - lhol/JImageHash: Perceptual image hashing library used to match similar images

X Title: GitHub - lhol/JImageHash: Perceptual image hashing library used to match similar images

Description: Perceptual image hashing library used to match similar images - lhol/JImageHash

Open Graph Description: Perceptual image hashing library used to match similar images - lhol/JImageHash

X Description: Perceptual image hashing library used to match similar images - lhol/JImageHash

Opengraph URL: https://github.com/lhol/JImageHash

X: @github

direct link

Domain: github.com

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Links:

Skip to contenthttps://github.com/lhol/JImageHash#start-of-content
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Reloadhttps://github.com/lhol/JImageHash
Reloadhttps://github.com/lhol/JImageHash
Reloadhttps://github.com/lhol/JImageHash
lholhttps://github.com/lhol
JImageHashhttps://github.com/lhol/JImageHash
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https://github.com/lhol/JImageHash
JImageHashhttps://github.com/lhol/JImageHash
KilianB/JImageHashhttps://github.com/KilianB/JImageHash
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https://user-images.githubusercontent.com/9025925/48595271-388ba280-e954-11e8-8bc6-8b8afe108682.png
https://github.com/lhol/JImageHash#jimagehash
https://travis-ci.org/KilianB/JImageHash
https://github.com/KilianB/JImageHash/blob/master/LICENSE
https://www.codacy.com/app/KilianB/JImageHash?utm_source=github.com&utm_medium=referral&utm_content=KilianB/JImageHash&utm_campaign=Badge_Grade
kind of like thathttp://www.hackerfactor.com/blog/index.php?/archives/529-Kind-of-Like-That.html
paperhttps://www.phash.org/docs/pubs/thesis_zauner.pdf
https://github.com/lhol/JImageHash#maven
https://github.com/lhol/JImageHash#breaking-changes-migration-guide-to-version-100
https://github.com/lhol/JImageHash#hello-world
https://github.com/lhol/JImageHash#examples
examples repositoryhttps://github.com/KilianB/JImageHash-Examples
https://github.com/lhol/JImageHash#transparent-image-support
https://github.com/lhol/JImageHash#be-aware-of-the-following-culprits
https://github.com/lhol/JImageHash#multiple-types-image-matchers-are-available-for-each-situation
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https://github.com/lhol/JImageHash#hashing-algorithm
AverageHashhttps://github.com/KilianB/JImageHash/wiki/Hashing-Algorithms#averagehash-averagekernelhash-medianhash-averagecolorhash
AverageColorHashhttps://github.com/KilianB/JImageHash/wiki/Hashing-Algorithms#averagehash-averagekernelhash-medianhash-averagecolorhash
DifferenceHashhttps://github.com/KilianB/JImageHash/wiki/Hashing-Algorithms#differencehash
PerceptiveHashhttps://github.com/KilianB/JImageHash/wiki/Hashing-Algorithms#perceptive-hash
MedianHashhttps://github.com/KilianB/JImageHash/wiki/Hashing-Algorithms#averagehash-averagekernelhash-medianhash-averagecolorhash
AverageKernelHashhttps://github.com/KilianB/JImageHash/wiki/Hashing-Algorithms#averagehash-averagekernelhash-medianhash-averagecolorhash
RotAverageHashhttps://github.com/KilianB/JImageHash/wiki/Hashing-Algorithms#rotphash
RotPHashhttps://github.com/KilianB/JImageHash/wiki/Hashing-Algorithms#rotphash
HogHashhttps://github.com/KilianB/JImageHash/wiki/Hashing-Algorithms#hoghash
https://github.com/lhol/JImageHash#version-300-image-clustering
https://user-images.githubusercontent.com/9025925/51272388-439d9600-19ca-11e9-8220-fe3539ed6061.png
https://github.com/lhol/JImageHash#algorithm-benchmarking
https://github.com/KilianB/JImageHash-Examples/tree/main/src/main/java/com/github/kilianB/benchmarkhttps://github.com/KilianB/JImageHash-Examples/tree/main/src/main/java/com/github/kilianB/benchmark
https://user-images.githubusercontent.com/9025925/49185669-c14a0b80-f362-11e8-92fa-d51a20476937.jpg
Readmehttps://github.com/lhol/JImageHash#readme-ov-file
MIT licensehttps://github.com/lhol/JImageHash#MIT-1-ov-file
Activityhttps://github.com/lhol/JImageHash/activity
0 forkshttps://github.com/lhol/JImageHash/forks
Report repositoryhttps://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Flhol%2FJImageHash&report=lhol+%28user%29
https://github.com
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