{"id":1106826,"date":"2025-01-08T16:43:54","date_gmt":"2025-01-08T08:43:54","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1106826.html"},"modified":"2025-01-08T16:43:57","modified_gmt":"2025-01-08T08:43:57","slug":"%e5%a6%82%e4%bd%95%e5%be%80python%e4%b8%ad%e5%af%bc%e5%85%a5%e7%9f%a9%e9%98%b5%e7%b1%bb%e5%9e%8b%e7%9a%84%e5%9b%be%e7%89%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1106826.html","title":{"rendered":"\u5982\u4f55\u5f80python\u4e2d\u5bfc\u5165\u77e9\u9635\u7c7b\u578b\u7684\u56fe\u7247"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25071126\/2cf1369a-8ad6-43dd-94e2-f4c3b5378896.webp\" alt=\"\u5982\u4f55\u5f80python\u4e2d\u5bfc\u5165\u77e9\u9635\u7c7b\u578b\u7684\u56fe\u7247\" \/><\/p>\n<p><p> <strong>\u5f80Python\u4e2d\u5bfc\u5165\u77e9\u9635\u7c7b\u578b\u7684\u56fe\u7247\uff0c\u53ef\u4ee5\u4f7f\u7528NumPy\u3001PIL\u3001OpenCV\u7b49\u5e93\u3002<\/strong> \u5176\u4e2dNumPy\u662f\u6700\u5e38\u7528\u7684\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u77e9\u9635\u5904\u7406\u529f\u80fd\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528PIL\u5e93\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3001\u4f7f\u7528OpenCV\u76f4\u63a5\u8bfb\u53d6\u56fe\u7247\u4e3a\u77e9\u9635\u3001\u4f7f\u7528scipy\u5e93\u8bfb\u53d6\u56fe\u7247\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u4f7f\u7528NumPy\u548cPIL\u5e93\u8fdb\u884c\u56fe\u7247\u5bfc\u5165\u7684\u5177\u4f53\u6b65\u9aa4\u3002<\/p>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u4f7f\u7528PIL\u5e93\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002PIL\uff08Python Imaging Library\uff09\u662f\u4e00\u4e2a\u6d41\u884c\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u5b83\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u56fe\u7247\u52a0\u8f7d\u5e76\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u5177\u4f53\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n<p>image = Image.open(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/h2>\n<p>image_array = np.array(image)<\/p>\n<p>print(image_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>NumPy\u548cPIL\u5e93\u7684\u4f7f\u7528<\/strong><\/p>\n<\/p>\n<p><p>NumPy\u662fPython\u4e2d\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5305\uff0c\u5b83\u652f\u6301\u5927\u91cf\u7684\u7ef4\u5ea6\u6570\u7ec4\u548c\u77e9\u9635\u64cd\u4f5c\u3002PIL\u5e93\u53ef\u4ee5\u5904\u7406\u56fe\u50cf\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\uff0c\u8fd9\u4f7f\u5f97\u5904\u7406\u56fe\u50cf\u53d8\u5f97\u66f4\u52a0\u5bb9\u6613\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86NumPy\u548cPIL\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install numpy pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>from PIL import Image<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u52a0\u8f7d\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528PIL\u5e93\u7684<code>Image.open()<\/code>\u65b9\u6cd5\u6765\u52a0\u8f7d\u56fe\u7247\u6587\u4ef6\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">image = Image.open(&#39;path_to_image.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528NumPy\u7684<code>array()<\/code>\u65b9\u6cd5\u5c06PIL\u56fe\u50cf\u5bf9\u8c61\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002\u8fd9\u4e00\u6b65\u975e\u5e38\u91cd\u8981\uff0c\u56e0\u4e3aNumPy\u6570\u7ec4\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u5404\u79cd\u77e9\u9635\u64cd\u4f5c\u548c\u56fe\u50cf\u5904\u7406\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">image_array = np.array(image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u67e5\u770b\u548c\u5904\u7406\u56fe\u50cf\u77e9\u9635<\/h3>\n<\/p>\n<p><p>\u8f6c\u6362\u540e\u7684NumPy\u6570\u7ec4\u53ef\u4ee5\u76f4\u63a5\u8fdb\u884c\u67e5\u770b\u548c\u5904\u7406\u3002\u53ef\u4ee5\u4f7f\u7528\u6570\u7ec4\u7684\u5c5e\u6027\u548c\u65b9\u6cd5\u6765\u83b7\u53d6\u56fe\u7247\u7684\u5f62\u72b6\u3001\u7c7b\u578b\u7b49\u4fe1\u606f\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">print(image_array.shape)  # \u6253\u5370\u56fe\u7247\u7684\u7ef4\u5ea6<\/p>\n<p>print(image_array.dtype)  # \u6253\u5370\u6570\u7ec4\u7684\u6570\u636e\u7c7b\u578b<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u64cd\u4f5c<\/h3>\n<\/p>\n<p><p>NumPy\u6570\u7ec4\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u5404\u79cd\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5bf9\u56fe\u50cf\u8fdb\u884c\u88c1\u526a\u3001\u65cb\u8f6c\u3001\u8c03\u6574\u4eae\u5ea6\u7b49\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u88c1\u526a\u56fe\u7247<\/p>\n<p>cropped_image = image_array[50:200, 50:200]<\/p>\n<h2><strong>\u65cb\u8f6c\u56fe\u7247<\/strong><\/h2>\n<p>rotated_image = np.rot90(image_array)<\/p>\n<h2><strong>\u8c03\u6574\u4eae\u5ea6<\/strong><\/h2>\n<p>bright_image = image_array * 1.2<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u5904\u7406\u540e\u7684NumPy\u6570\u7ec4\u53ef\u4ee5\u518d\u6b21\u8f6c\u6362\u4e3aPIL\u56fe\u50cf\u5bf9\u8c61\uff0c\u5e76\u4fdd\u5b58\u4e3a\u56fe\u7247\u6587\u4ef6\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5c06NumPy\u6570\u7ec4\u8f6c\u6362\u4e3aPIL\u56fe\u50cf\u5bf9\u8c61<\/p>\n<p>processed_image = Image.fromarray(rotated_image.astype(&#39;uint8&#39;))<\/p>\n<h2><strong>\u4fdd\u5b58\u56fe\u7247<\/strong><\/h2>\n<p>processed_image.save(&#39;processed_image.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e03\u3001\u4f7f\u7528OpenCV\u5e93\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u9664\u4e86PIL\u5e93\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528OpenCV\u5e93\u6765\u8bfb\u53d6\u56fe\u7247\u5e76\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002OpenCV\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n<p>image = cv2.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u6253\u5370\u56fe\u7247\u7684\u7ef4\u5ea6<\/strong><\/h2>\n<p>print(image.shape)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516b\u3001\u4f7f\u7528scipy\u5e93\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n<p><p>SciPy\u5e93\u662f\u53e6\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u5b83\u4e5f\u63d0\u4f9b\u4e86\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u53ef\u4ee5\u4f7f\u7528<code>scipy.ndimage<\/code>\u6a21\u5757\u4e2d\u7684<code>imread<\/code>\u65b9\u6cd5\u6765\u8bfb\u53d6\u56fe\u7247\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.ndimage import imread<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n<p>image = imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u6253\u5370\u56fe\u7247\u7684\u7ef4\u5ea6<\/strong><\/h2>\n<p>print(image.shape)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e5d\u3001\u5904\u7406\u591a\u901a\u9053\u56fe\u50cf<\/h3>\n<\/p>\n<p><p>\u5bf9\u4e8e\u5f69\u8272\u56fe\u7247\uff0c\u901a\u5e38\u662f\u4e09\u901a\u9053\u7684\uff08RGB\uff09\u3002\u53ef\u4ee5\u5206\u522b\u63d0\u53d6\u6bcf\u4e2a\u901a\u9053\u8fdb\u884c\u5904\u7406\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u63d0\u53d6\u7ea2\u8272\u901a\u9053<\/p>\n<p>red_channel = image_array[:, :, 0]<\/p>\n<h2><strong>\u63d0\u53d6\u7eff\u8272\u901a\u9053<\/strong><\/h2>\n<p>green_channel = image_array[:, :, 1]<\/p>\n<h2><strong>\u63d0\u53d6\u84dd\u8272\u901a\u9053<\/strong><\/h2>\n<p>blue_channel = image_array[:, :, 2]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u5341\u3001\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u8fdb\u884c\u9ad8\u7ea7\u56fe\u50cf\u5904\u7406<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u8fdb\u884c\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5148\u4f7f\u7528OpenCV\u8fdb\u884c\u8fb9\u7f18\u68c0\u6d4b\uff0c\u7136\u540e\u4f7f\u7528NumPy\u8fdb\u884c\u77e9\u9635\u64cd\u4f5c\uff0c\u6700\u540e\u4f7f\u7528PIL\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u7247\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<p>from PIL import Image<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n<p>image = cv2.imread(&#39;path_to_image.jpg&#39;, cv2.IMREAD_GRAYSCALE)<\/p>\n<h2><strong>\u8fb9\u7f18\u68c0\u6d4b<\/strong><\/h2>\n<p>edges = cv2.Canny(image, 100, 200)<\/p>\n<h2><strong>\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/h2>\n<p>edges_array = np.array(edges)<\/p>\n<h2><strong>\u8fdb\u884c\u77e9\u9635\u64cd\u4f5c<\/strong><\/h2>\n<p>processed_array = np.where(edges_array &gt; 0, 255, 0)<\/p>\n<h2><strong>\u5c06NumPy\u6570\u7ec4\u8f6c\u6362\u4e3aPIL\u56fe\u50cf\u5bf9\u8c61<\/strong><\/h2>\n<p>processed_image = Image.fromarray(processed_array.astype(&#39;uint8&#39;))<\/p>\n<h2><strong>\u4fdd\u5b58\u56fe\u7247<\/strong><\/h2>\n<p>processed_image.save(&#39;edges_image.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u77e9\u9635\u7c7b\u578b\u7684\u56fe\u7247\u5bfc\u5165\u5230Python\u4e2d\uff0c\u5e76\u8fdb\u884c\u5404\u79cd\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\u3002\u65e0\u8bba\u662f\u4f7f\u7528NumPy\u548cPIL\u5e93\uff0c\u8fd8\u662f\u4f7f\u7528OpenCV\u548cSciPy\u5e93\uff0c\u90fd\u53ef\u4ee5\u6ee1\u8db3\u4e0d\u540c\u573a\u666f\u4e0b\u7684\u9700\u6c42\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u52a0\u8f7d\u77e9\u9635\u7c7b\u578b\u7684\u56fe\u7247\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u5e93\u6765\u52a0\u8f7d\u77e9\u9635\u7c7b\u578b\u7684\u56fe\u7247\u3002\u5e38\u7528\u7684\u5e93\u5305\u62ecNumPy\u3001OpenCV\u548cPIL\uff08Pillow\uff09\u3002\u4f8b\u5982\uff0c\u4f7f\u7528NumPy\u53ef\u4ee5\u901a\u8fc7<code>numpy.array()<\/code>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u77e9\u9635\uff0cOpenCV\u5219\u63d0\u4f9b\u4e86<code>cv2.imread()<\/code>\u51fd\u6570\u76f4\u63a5\u8bfb\u53d6\u56fe\u50cf\u5e76\u8fd4\u56de\u4e00\u4e2a\u77e9\u9635\u3002\u9009\u62e9\u5408\u9002\u7684\u5e93\u53d6\u51b3\u4e8e\u4f60\u7684\u5177\u4f53\u9700\u6c42\uff0c\u6bd4\u5982\u56fe\u50cf\u5904\u7406\u6216\u5206\u6790\u3002<\/p>\n<p><strong>\u5bfc\u5165\u77e9\u9635\u7c7b\u578b\u7684\u56fe\u7247\u65f6\u9700\u8981\u6ce8\u610f\u54ea\u4e9b\u4e8b\u9879\uff1f<\/strong><br \/>\u5728\u5bfc\u5165\u77e9\u9635\u7c7b\u578b\u7684\u56fe\u7247\u65f6\uff0c\u786e\u4fdd\u56fe\u7247\u8def\u5f84\u6b63\u786e\u4e14\u56fe\u7247\u683c\u5f0f\u53d7\u652f\u6301\u3002\u540c\u65f6\uff0c\u5904\u7406\u56fe\u50cf\u65f6\u9700\u6ce8\u610f\u989c\u8272\u901a\u9053\u7684\u987a\u5e8f\uff0c\u4f8b\u5982OpenCV\u4f7f\u7528BGR\uff0c\u800cPIL\u548cMatplotlib\u5219\u4f7f\u7528RGB\u3002\u6b64\u5916\uff0c\u786e\u4fdd\u5b89\u88c5\u5fc5\u8981\u7684\u5e93\uff0c\u4f7f\u7528<code>pip install<\/code>\u547d\u4ee4\u53ef\u4ee5\u8f7b\u677e\u5b89\u88c5\u6240\u9700\u7684\u5e93\u3002<\/p>\n<p><strong>\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u5e93\u6765\u5904\u7406\u5bfc\u5165\u7684\u77e9\u9635\u7c7b\u578b\u56fe\u7247\uff1f<\/strong><br 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