/**
* Tests similarity-calculation with a simple pHash-algorithm. This approach is less reliable than
* similarity-calculation via image-signature, it is more likely to give false positives /
* negatives if one of the given images is a cutout from the other
*
* @throws Exception
*/
@Test
public void testSimilaritySimpleHashGreyscale() throws Exception {
if (similar1a != null
&& similar1b != null
&& different != null
&& similar2b != null
&& similar2a != null) {
assertTrue(ImageSimilarity.identifyImageSimilarityBasedOnPHash(similar1b, similar1a) >= .7);
assertTrue(ImageSimilarity.identifyImageSimilarityBasedOnPHash(similar2b, similar2a) >= .7);
assertTrue(ImageSimilarity.identifyImageSimilarityBasedOnPHash(similar1b, different) < .7);
assertTrue(ImageSimilarity.identifyImageSimilarityBasedOnPHash(similar1b, different) < .7);
assertEquals(
ImageSimilarity.identifyImageSimilarityBasedOnPHash(different, different), 1, 0.00001);
}
}
