### Calculate Image Hash using AverageHash Source: https://github.com/coenm/imagehash/blob/develop/README.md This snippet demonstrates how to calculate a perceptual hash for an image using the AverageHash algorithm. It requires an instance of a hash algorithm and a stream to the image file. The output is a ulong representing the image hash. ```csharp var hashAlgorithm = new AverageHash(); // or one of the other available algorithms: // var hashAlgorithm = new DifferenceHash(); // var hashAlgorithm = new PerceptualHash(); string filename = "your filename"; using var stream = File.OpenRead(filename); ulong imageHash = hashAlgorithm.Hash(stream); ``` -------------------------------- ### Calculate Image Hash with ImageSharp Source: https://github.com/coenm/imagehash/blob/develop/src/ImageHash/PackageDescription.md Calculates a perceptual hash for an image using one of the provided hashing algorithms (AverageHash, DifferenceHash, or PerceptualHash) from the ImageSharp library. It takes an image file stream as input and returns a ulong representing the image hash. ```cs var hashAlgorithm = new AverageHash(); // or one of the other available algorithms: // var hashAlgorithm = new DifferenceHash(); // var hashAlgorithm = new PerceptualHash(); string filename = "your filename"; using var stream = File.OpenRead(filename); ulong imageHash = hashAlgorithm.Hash(stream); ``` -------------------------------- ### Calculate Image Similarity Source: https://github.com/coenm/imagehash/blob/develop/README.md This code calculates the similarity percentage between two images based on their previously computed perceptual hashes. It's crucial that both hashes are generated using the same hashing algorithm. The result is a double representing the similarity percentage. ```csharp // calculate the two image hashes ulong hash1 = hashAlgorithm.Hash(imageStream1); ulong hash2 = hashAlgorithm.Hash(imageStream2); double percentageImageSimilarity = CompareHash.Similarity(hash1, hash2); ``` -------------------------------- ### Calculate Image Similarity using ImageHash Source: https://github.com/coenm/imagehash/blob/develop/src/ImageHash/PackageDescription.md Calculates the similarity percentage between two images by comparing their previously computed perceptual hashes. Both hashes must be generated using the same hashing algorithm. The function takes two ulong hashes as input and returns a double representing the similarity percentage. ```cs // calculate the two image hashes ulong hash1 = hashAlgorithm.Hash(imageStream1); ulong hash2 = hashAlgorithm.Hash(imageStream2); double percentageImageSimilarity = CompareHash.Similarity(hash1, hash2); ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.