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| 1 | +using System; |
| 2 | +using System.Collections; |
| 3 | +using System.Collections.Generic; |
| 4 | +using System.ComponentModel; |
| 5 | +using System.Linq; |
| 6 | +using System.Text; |
| 7 | +using System.Threading.Tasks; |
| 8 | + |
| 9 | +using SixLabors.ImageSharp; |
| 10 | +using SixLabors.ImageSharp.PixelFormats; |
| 11 | + |
| 12 | +namespace TextVisionComparer; |
| 13 | + |
| 14 | +public class VisionComparer |
| 15 | +{ |
| 16 | + /// <summary> |
| 17 | + /// 比较两张图片的相似度 |
| 18 | + /// </summary> |
| 19 | + /// <param name="textImageFile1"></param> |
| 20 | + /// <param name="textImageFile2"></param> |
| 21 | + /// <returns></returns> |
| 22 | + public VisionCompareResult Compare(FileInfo textImageFile1, FileInfo textImageFile2) |
| 23 | + { |
| 24 | + // 对比算法： |
| 25 | + // 1. 逐个像素点对比，如果不同则记录下来 |
| 26 | + // 2. 计算不同的像素点数量 |
| 27 | + // 3. 计算不同的像素点的范围列表 |
| 28 | + // 优势： |
| 29 | + // 文本很多都是像素边缘差异，通过范围列表可以减少误差 |
| 30 | + using Image<Rgba32> image1 = Image.Load<Rgba32>(textImageFile1.FullName); |
| 31 | + using Image<Rgba32> image2 = Image.Load<Rgba32>(textImageFile2.FullName); |
| 32 | + |
| 33 | + if (image1.Size != image2.Size) |
| 34 | + { |
| 35 | + return VisionCompareResult.FailResult($"两张图片尺寸不相同，不能进行相似比较"); |
| 36 | + } |
| 37 | + |
| 38 | + // 总像素点数量 |
| 39 | + int imageWidth = Math.Min(image1.Width, image2.Width); |
| 40 | + int imageHeight = Math.Min(image1.Height, image2.Height); |
| 41 | + var pixelCount = imageWidth * imageHeight; |
| 42 | + // 不同的像素点数量 |
| 43 | + int dissimilarPixelCount = 0; |
| 44 | + |
| 45 | + double totalDistanceValue = 0; |
| 46 | + |
| 47 | + double[] pixelDistance = new double[pixelCount]; |
| 48 | + |
| 49 | + Parallel.For(0, pixelCount, n => |
| 50 | + { |
| 51 | + // ReSharper disable AccessToDisposedClosure |
| 52 | + var y = n / imageWidth; |
| 53 | + var x = n % imageWidth; |
| 54 | + |
| 55 | + Rgba32 pixel1 = image1[x, y]; |
| 56 | + Rgba32 pixel2 = image2[x, y]; |
| 57 | + |
| 58 | + if (pixel1 == pixel2) |
| 59 | + { |
| 60 | + pixelDistance[n] = 0; |
| 61 | + return; |
| 62 | + } |
| 63 | + |
| 64 | + double distance = |
| 65 | + (Math.Abs(pixel1.A - pixel2.A)) |
| 66 | + + (Math.Abs(pixel1.R - pixel2.R)) |
| 67 | + + (Math.Abs(pixel1.G - pixel2.G)) |
| 68 | + + (Math.Abs(pixel1.B - pixel2.B)); |
| 69 | + const int countOfArgb = 4; |
| 70 | + // 距离应该计算到 0-1 之间，除以最大值 |
| 71 | + pixelDistance[n] = distance / (countOfArgb * byte.MaxValue); |
| 72 | + }); |
| 73 | + |
| 74 | + var mapArray = new BitArray(pixelCount, false); |
| 75 | + |
| 76 | + for (int i = 0; i < pixelDistance.Length; i++) |
| 77 | + { |
| 78 | + double distance = pixelDistance[i]; |
| 79 | + totalDistanceValue += distance; |
| 80 | + |
| 81 | + if (distance > 0) |
| 82 | + { |
| 83 | + dissimilarPixelCount++; |
| 84 | + mapArray[i] = true; |
| 85 | + } |
| 86 | + } |
| 87 | + |
| 88 | + List<VisionCompareRect> list = GetVisionCompareRectList(mapArray, imageWidth, imageHeight); |
| 89 | + |
| 90 | + double similarityValue = 1 - totalDistanceValue / (imageWidth * imageHeight); |
| 91 | + return new VisionCompareResult(true, similarityValue, pixelCount, dissimilarPixelCount, list, "成功"); |
| 92 | + } |
| 93 | + |
| 94 | + private static List<VisionCompareRect> GetVisionCompareRectList(BitArray mapArray, int imageWidth, int imageHeight) |
| 95 | + { |
| 96 | + var pixelCount = imageWidth * imageHeight; |
| 97 | + |
| 98 | + var list = new List<VisionCompareRect>(); |
| 99 | + // 尝试寻找有多少范围是存在不相似的 |
| 100 | + var ignoreArray = new BitArray(pixelCount, false); |
| 101 | + for (var i = 0; i < mapArray.Count; i++) |
| 102 | + { |
| 103 | + if (ignoreArray[i] is true) |
| 104 | + { |
| 105 | + // 被访问过了 |
| 106 | + continue; |
| 107 | + } |
| 108 | + |
| 109 | + if (mapArray[i] is false) |
| 110 | + { |
| 111 | + continue; |
| 112 | + } |
| 113 | + |
| 114 | + var y = i / imageWidth; |
| 115 | + var x = i % imageWidth; |
| 116 | + |
| 117 | + // 向下右扩展 |
| 118 | + // 处理不了空白范围，或者是溶解效果的差异 |
| 119 | + var minBottom = GetMaxBottom(x, y); |
| 120 | + var maxRight = x; |
| 121 | + |
| 122 | + for (int currentX = x; currentX < imageWidth; currentX++) |
| 123 | + { |
| 124 | + var index = y * imageWidth + currentX; |
| 125 | + if (mapArray[index] is false) |
| 126 | + { |
| 127 | + break; |
| 128 | + } |
| 129 | + |
| 130 | + if (minBottom == y) |
| 131 | + { |
| 132 | + // 不需要继续找了，只找最小的 |
| 133 | + } |
| 134 | + else |
| 135 | + { |
| 136 | + var bottom = GetMaxBottom(currentX, y); |
| 137 | + minBottom = Math.Min(minBottom, bottom); |
| 138 | + } |
| 139 | + |
| 140 | + maxRight = currentX; |
| 141 | + } |
| 142 | + |
| 143 | + if (maxRight > x || minBottom > y) |
| 144 | + { |
| 145 | + VisionCompareRect visionCompareRect = new VisionCompareRect(x, y, maxRight, minBottom); |
| 146 | + list.Add(visionCompareRect); |
| 147 | + |
| 148 | + // 添加标记，减少重复访问 |
| 149 | + for (int currentY = y; currentY <= minBottom; currentY++) |
| 150 | + { |
| 151 | + for (int currentX = x; currentX <= maxRight; currentX++) |
| 152 | + { |
| 153 | + var index = currentY * imageWidth + currentX; |
| 154 | + ignoreArray[index] = true; |
| 155 | + } |
| 156 | + } |
| 157 | + } |
| 158 | + |
| 159 | + int GetMaxBottom(int initX, int initY) |
| 160 | + { |
| 161 | + int bottom = initY; |
| 162 | + for (int currentY = initY; currentY < imageHeight; currentY++) |
| 163 | + { |
| 164 | + var index = currentY * imageWidth + initX; |
| 165 | + if (mapArray[index] is false) |
| 166 | + { |
| 167 | + break; |
| 168 | + } |
| 169 | + |
| 170 | + bottom = currentY; |
| 171 | + } |
| 172 | + |
| 173 | + return bottom; |
| 174 | + } |
| 175 | + } |
| 176 | + |
| 177 | + return list; |
| 178 | + } |
| 179 | +} |
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