func TestAffineTransformedImagesMatch(t *testing.T) {
Convey("Given some cats are loaded", t, func() {
catBig := getImgBag(catsDir, "cat_big.jpg", 0)
catMedium := getImgBag(catsDir, "cat_medium.jpg", 0)
catSmall := getImgBag(catsDir, "cat_small.jpg", 0)
Convey("When DCT Hashes are computed", func() {
catBig.ImageDigest.ComputeGreyscaleDct()
catMedium.ImageDigest.ComputeGreyscaleDct()
catSmall.ImageDigest.ComputeGreyscaleDct()
Convey("Then the hashes should not be zero", func() {
So(catBig.Phash, ShouldNotEqual, 0)
So(catMedium.Phash, ShouldNotEqual, 0)
So(catSmall.Phash, ShouldNotEqual, 0)
})
Convey("And Hamming Distance should be under threshold ", func() {
distance := phash.HammingDistance(catBig.Phash, catMedium.Phash)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
distance = phash.HammingDistance(catBig.Phash, catSmall.Phash)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
distance = phash.HammingDistance(catMedium.Phash, catSmall.Phash)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
})
})
Convey("When DCTMatrix Hashes are computed", func() {
catBig.ImageDigest.ComputeGreyscaleDctMatrix()
catMedium.ImageDigest.ComputeGreyscaleDctMatrix()
catSmall.ImageDigest.ComputeGreyscaleDctMatrix()
Convey("Then the hashes should not be zero", func() {
So(catBig.PhashMatrix, ShouldNotEqual, 0)
So(catMedium.PhashMatrix, ShouldNotEqual, 0)
So(catSmall.PhashMatrix, ShouldNotEqual, 0)
})
Convey("Then Hamming Distance should be under threshold ", func() {
distance := phash.HammingDistance(catBig.PhashMatrix, catMedium.PhashMatrix)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
distance = phash.HammingDistance(catBig.PhashMatrix, catSmall.PhashMatrix)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
distance = phash.HammingDistance(catMedium.PhashMatrix, catSmall.PhashMatrix)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
})
})
Convey("When CDCT Hashes are computed", func() {
catBig.ComputeImageHashPhash(false)
catMedium.ComputeImageHashPhash(false)
catSmall.ComputeImageHashPhash(false)
Convey("Then the hashes should not be zero", func() {
So(catBig.CPhash, ShouldNotEqual, 0)
So(catMedium.CPhash, ShouldNotEqual, 0)
So(catSmall.CPhash, ShouldNotEqual, 0)
})
Convey("Then Hamming Distance should be under threshold ", func() {
distance := phash.HammingDistance(catBig.CPhash, catMedium.CPhash)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
distance = phash.HammingDistance(catBig.CPhash, catSmall.CPhash)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
distance = phash.HammingDistance(catMedium.CPhash, catSmall.CPhash)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
})
})
SkipConvey("When Radon Hashes are computed", func() {
catBig.ComputeImageHashRadon(false)
catMedium.ComputeImageHashRadon(false)
Convey("Then the hashes should not be zero", func() {
So(len(catBig.ImageDigest.Radon.Digest.Coeffs), ShouldNotEqual, 0)
So(catBig.ImageDigest.Radon.Digest.Coeffs, ShouldNotBeNil)
So(len(catMedium.ImageDigest.Radon.Digest.Coeffs), ShouldNotEqual, 0)
So(catMedium.ImageDigest.Radon.Digest.Coeffs, ShouldNotBeNil)
})
Convey("Then the Cross Correlation for threshold should be true", func() {
crossCoorrelation, _ := radon.DiffByCrossCorr(catBig.ImageDigest.Radon.Digest.Coeffs, catMedium.ImageDigest.Radon.Digest.Coeffs, 0.01)
So(crossCoorrelation, ShouldBeTrue)
})
})
})
Convey("Given some suns are loaded", t, func() {
sunBig := getImgBag(catsDir, "sun_big.jpg", 0)
sunSmall := getImgBag(catsDir, "sun_small.jpg", 0)
Convey("When DCT Hashes are computed", func() {
sunBig.ImageDigest.ComputeGreyscaleDct()
sunSmall.ImageDigest.ComputeGreyscaleDct()
Convey("Then the hashes should not be zero", func() {
So(sunBig.Phash, ShouldNotEqual, 0)
So(sunSmall.Phash, ShouldNotEqual, 0)
})
Convey("And Hamming Distance should be under threshold ", func() {
distance := phash.HammingDistance(sunBig.Phash, sunSmall.Phash)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
})
})
Convey("When DCTMatrix Hashes are computed", func() {
sunBig.ImageDigest.ComputeGreyscaleDctMatrix()
sunSmall.ImageDigest.ComputeGreyscaleDctMatrix()
Convey("Then the hashes should not be zero", func() {
So(sunBig.PhashMatrix, ShouldNotEqual, 0)
So(sunSmall.PhashMatrix, ShouldNotEqual, 0)
})
Convey("Then Hamming Distance should be under threshold ", func() {
distance := phash.HammingDistance(sunBig.PhashMatrix, sunSmall.PhashMatrix)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
distance = phash.HammingDistance(sunBig.PhashMatrix, sunSmall.PhashMatrix)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
})
})
Convey("When CDCT Hashes are computed", func() {
sunBig.ComputeImageHashPhash(false)
sunSmall.ComputeImageHashPhash(false)
Convey("Then the hashes should not be zero", func() {
So(sunBig.CPhash, ShouldNotEqual, 0)
So(sunSmall.CPhash, ShouldNotEqual, 0)
})
Convey("Then Hamming Distance should be under threshold ", func() {
distance := phash.HammingDistance(sunBig.CPhash, sunSmall.CPhash)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
distance = phash.HammingDistance(sunBig.CPhash, sunSmall.CPhash)
So(distance, ShouldBeLessThanOrEqualTo, Treshold)
})
})
Convey("When Radon Hashes are computed", func() {
sunBig.ComputeImageHashRadon(false)
sunSmall.ComputeImageHashRadon(false)
Convey("Then the hashes should not be zero", func() {
So(len(sunBig.ImageDigest.Radon.Digest.Coeffs), ShouldNotEqual, 0)
So(sunBig.ImageDigest.Radon.Digest.Coeffs, ShouldNotBeNil)
So(len(sunSmall.ImageDigest.Radon.Digest.Coeffs), ShouldNotEqual, 0)
So(sunSmall.ImageDigest.Radon.Digest.Coeffs, ShouldNotBeNil)
})
SkipConvey("Then the Cross Correlation for threshold should be true", func() {
crossCoorrelation, _ := radon.DiffByCrossCorr(sunBig.ImageDigest.Radon.Digest.Coeffs, sunSmall.ImageDigest.Radon.Digest.Coeffs, -0.1)
So(crossCoorrelation, ShouldBeTrue)
crossCoorrelation, _ = radon.DiffByCrossCorr(sunBig.ImageDigest.Radon.Digest.Coeffs, sunSmall.ImageDigest.Radon.Digest.Coeffs, 0.0)
So(crossCoorrelation, ShouldBeTrue)
})
})
})
}
func TestDifferentImagesDoNotMatch(t *testing.T) {
Convey("Given some cats, suns and girls are loaded", t, func() {
catBig := getImgBag(catsDir, "cat_big.jpg", 0)
catMedium := getImgBag(catsDir, "cat_medium.jpg", 0)
catSmall := getImgBag(catsDir, "cat_small.jpg", 0)
catSky := getImgBag(catsDir, "cat_sky.jpg", 0)
catSmile := getImgBag(catsDir, "smiling.jpg", 0)
cats := []*ImageBag{catBig, catMedium, catSmall, catSky, catSmile}
lenaToshop := getImgBag(lenaDir, "lena_std.tiff", 0)
lenaNkd := getImgBag(lenaDir, "l_hires.jpg", 0)
lenaVintage := getImgBag(lenaDir, "lena.bmp", 0)
girls := []*ImageBag{lenaToshop, lenaNkd, lenaVintage}
sunBig := getImgBag(catsDir, "sun_big.jpg", 0)
sunSmall := getImgBag(catsDir, "sun_small.jpg", 0)
suns := []*ImageBag{sunBig, sunSmall}
Convey("When DCT Hashes are computed", func() {
catBig.ImageDigest.ComputeGreyscaleDct()
catMedium.ImageDigest.ComputeGreyscaleDct()
catSmall.ImageDigest.ComputeGreyscaleDct()
catSky.ImageDigest.ComputeGreyscaleDct()
catSmile.ImageDigest.ComputeGreyscaleDct()
lenaToshop.ImageDigest.ComputeGreyscaleDct()
lenaNkd.ImageDigest.ComputeGreyscaleDct()
lenaVintage.ImageDigest.ComputeGreyscaleDct()
sunBig.ImageDigest.ComputeGreyscaleDct()
sunSmall.ImageDigest.ComputeGreyscaleDct()
Convey("Then cats do not look like girls", func() {
PairExecuteFor2ImagesList(cats, girls, func(cat, girl *ImageBag) {
distance := phash.HammingDistance(cat.Phash, girl.Phash)
So(distance, ShouldBeGreaterThan, Treshold)
})
})
Convey("And suns do not look like cats", func() {
PairExecuteFor2ImagesList(suns, cats, func(sun, cat *ImageBag) {
distance := phash.HammingDistance(sun.Phash, cat.Phash)
So(distance, ShouldBeGreaterThan, Treshold)
})
})
Convey("And girls do not look like suns", func() {
PairExecuteFor2ImagesList(girls, suns, func(girl, sun *ImageBag) {
distance := phash.HammingDistance(sun.Phash, girl.Phash)
So(distance, ShouldBeGreaterThan, Treshold)
})
})
})
Convey("When DCTMatrix Hashes are computed", func() {
catBig.ImageDigest.ComputeGreyscaleDctMatrix()
catMedium.ImageDigest.ComputeGreyscaleDctMatrix()
catSmall.ImageDigest.ComputeGreyscaleDctMatrix()
catSky.ImageDigest.ComputeGreyscaleDctMatrix()
catSmile.ImageDigest.ComputeGreyscaleDctMatrix()
lenaToshop.ImageDigest.ComputeGreyscaleDctMatrix()
lenaNkd.ImageDigest.ComputeGreyscaleDctMatrix()
lenaVintage.ImageDigest.ComputeGreyscaleDctMatrix()
sunBig.ImageDigest.ComputeGreyscaleDctMatrix()
sunSmall.ImageDigest.ComputeGreyscaleDctMatrix()
Convey("Then cats do not look like girls", func() {
PairExecuteFor2ImagesList(cats, girls, func(cat, girl *ImageBag) {
distance := phash.HammingDistance(cat.PhashMatrix, girl.PhashMatrix)
So(distance, ShouldBeGreaterThan, Treshold)
})
})
Convey("And suns do not look like cats", func() {
PairExecuteFor2ImagesList(suns, cats, func(sun, cat *ImageBag) {
distance := phash.HammingDistance(sun.PhashMatrix, cat.PhashMatrix)
So(distance, ShouldBeGreaterThan, Treshold)
})
})
Convey("And girls do not look like suns", func() {
PairExecuteFor2ImagesList(girls, suns, func(girl, sun *ImageBag) {
distance := phash.HammingDistance(sun.PhashMatrix, girl.PhashMatrix)
So(distance, ShouldBeGreaterThan, Treshold)
})
})
})
Convey("When CDCT Hashes are computed", func() {
catBig.ComputeImageHashPhash(false)
catMedium.ComputeImageHashPhash(false)
catSmall.ComputeImageHashPhash(false)
catSky.ComputeImageHashPhash(false)
catSmile.ComputeImageHashPhash(false)
// lenaToshop.ComputeImageHashPhash(false)
lenaVintage.ComputeImageHashPhash(false)
lenaNkd.ComputeImageHashPhash(false)
girls := []*ImageBag{lenaVintage, lenaNkd}
sunBig.ComputeImageHashPhash(false)
sunSmall.ComputeImageHashPhash(false)
Convey("Then cats do not look like girls", func() {
PairExecuteFor2ImagesList(cats, girls, func(cat, girl *ImageBag) {
distance := phash.HammingDistance(cat.CPhash, girl.CPhash)
So(distance, ShouldBeGreaterThan, Treshold)
})
})
Convey("And suns do not look like cats", func() {
PairExecuteFor2ImagesList(suns, cats, func(sun, cat *ImageBag) {
distance := phash.HammingDistance(sun.CPhash, cat.CPhash)
So(distance, ShouldBeGreaterThan, Treshold)
})
})
Convey("And girls do not look like suns", func() {
PairExecuteFor2ImagesList(girls, suns, func(girl, sun *ImageBag) {
distance := phash.HammingDistance(sun.CPhash, girl.CPhash)
So(distance, ShouldBeGreaterThan, Treshold)
})
})
})
SkipConvey("When Radon Hashes are computed", func() {
catBig.ComputeImageHashRadon(false)
catMedium.ComputeImageHashRadon(false)
catSmall.ComputeImageHashRadon(false)
catSky.ComputeImageHashRadon(false)
catSmile.ComputeImageHashRadon(false)
lenaToshop.ComputeImageHashRadon(false)
lenaNkd.ComputeImageHashRadon(false)
lenaVintage.ComputeImageHashRadon(false)
sunBig.ComputeImageHashRadon(false)
sunSmall.ComputeImageHashRadon(false)
Convey("Then cats do not look like girls", func() {
PairExecuteFor2ImagesList(cats, girls, func(cat, girl *ImageBag) {
crossCoorrelation, _ := radon.DiffByCrossCorr(cat.ImageDigest.Radon.Digest.Coeffs, girl.ImageDigest.Radon.Digest.Coeffs, 0.8)
So(crossCoorrelation, ShouldBeFalse)
})
})
Convey("And suns do not look like cats", func() {
PairExecuteFor2ImagesList(suns, cats, func(sun, cat *ImageBag) {
crossCoorrelation, _ := radon.DiffByCrossCorr(sun.ImageDigest.Radon.Digest.Coeffs, cat.ImageDigest.Radon.Digest.Coeffs, 0.8)
So(crossCoorrelation, ShouldBeFalse)
})
})
Convey("And girls do not look like suns", func() {
PairExecuteFor2ImagesList(girls, suns, func(girl, sun *ImageBag) {
crossCoorrelation, _ := radon.DiffByCrossCorr(girl.ImageDigest.Radon.Digest.Coeffs, sun.ImageDigest.Radon.Digest.Coeffs, 0.8)
So(crossCoorrelation, ShouldBeFalse)
})
})
})
})
}
