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Update knn, kmeans descriptions

savefigrue
bushuhui 4 years ago
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7140c4f503
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3 changed files with 123 additions and 82 deletions
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      2_knn/knn_classification.ipynb
  2. +72
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      3_kmeans/1-k-means.ipynb
  3. +1
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      3_kmeans/2-kmeans-color-vq.ipynb

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3_kmeans/2-kmeans-color-vq.ipynb View File

@@ -6,7 +6,7 @@
"source": [ "source": [
"# 用Ｋ-means进行颜色量化\n", "# 用Ｋ-means进行颜色量化\n",
"\n", "\n",
"对给定的图像进行**像素矢量量化(VQ)**，将显示图像所需的颜色从96,615种减少到64种，同时保持整体外观质量。\n",
"对给定的图像进行**像素矢量量化(VQ)**，将显示图像所需的颜色从16777216（$2^{24}$)种减少到64种，同时保持整体外观质量。\n",
"\n", "\n",
"\n", "\n",
"在本例中，像素在3D空间中表示，使用K-means找到64个颜色簇。在图像处理文献中，由K-means(聚类中心)得到的码本称为调色板。使用单个字节，最多可以寻址256种颜色，而RGB编码需要每个像素3个字节。例如，GIF文件格式就使用了这样一个调色板。\n", "在本例中，像素在3D空间中表示，使用K-means找到64个颜色簇。在图像处理文献中，由K-means(聚类中心)得到的码本称为调色板。使用单个字节，最多可以寻址256种颜色，而RGB编码需要每个像素3个字节。例如，GIF文件格式就使用了这样一个调色板。\n",


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