這篇文章主要介紹了javascript實現圖片相似度算法，大家參考使用吧
代碼如下: function getHistogram(imageData) { var arr = []; for (var i = 0; i < 64; i++) { arr[i] = 0; } var data = imageData.data; var pow4 = Math.pow(4, 2); for (var i = 0, len = data.length; i < len; i += 4) { var red = (data[i] / 64) | 0; var green = (data[i + 1] / 64) | 0; var blue = (data[i + 2] / 64) | 0; var index = red * pow4 + green * 4 + blue; arr[index]++; } return arr; } function cosine(arr1, arr2) { var axb = 0, a = 0, b = 0; for (var i = 0, len = arr1.length; i < len; i++) { axb += arr1[i] * arr2[i]; a += arr1[i] * arr1[i]; b += arr2[i] * arr2[i]; } return axb / (Math.sqrt(a) * Math.sqrt(b)); } function gray(imgData) { var data = imgData.data; for (var i = 0, len = data.length; i < len; i += 4) { var gray = parseInt((data[i] + data[i + 1] + data[i + 2]) / 3); data[i + 2] = data[i + 1] = data[i] = gray; } return imgData; } 有個問題，假如圖片是灰色的跟原圖進行比較，那麼要比較相似度，需要將圖片都轉成灰色的，即使用上面代碼的gray函數來處理