{"id":961420,"date":"2024-12-27T03:58:33","date_gmt":"2024-12-26T19:58:33","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/961420.html"},"modified":"2024-12-27T03:58:35","modified_gmt":"2024-12-26T19:58:35","slug":"python%e5%a6%82%e4%bd%95%e6%8f%90%e5%8f%96hsv%e9%a2%9c%e8%89%b2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/961420.html","title":{"rendered":"python\u5982\u4f55\u63d0\u53d6hsv\u989c\u8272"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25103647\/0fe907e2-9335-4e61-89aa-5656e7858b32.webp\" alt=\"python\u5982\u4f55\u63d0\u53d6hsv\u989c\u8272\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u63d0\u53d6HSV\u989c\u8272\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528OpenCV\u5e93\u3001\u5c06BGR\u8f6c\u6362\u4e3aHSV\u3001\u4f7f\u7528NumPy\u8fdb\u884c\u56fe\u50cf\u64cd\u4f5c\u3002\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5728\u56fe\u50cf\u5904\u7406\u4e2d\u63d0\u53d6\u548c\u64cd\u4f5cHSV\u989c\u8272\u3002<\/strong>\u5176\u4e2d\uff0c\u4f7f\u7528OpenCV\u5e93\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u80fd\u591f\u8f7b\u677e\u5730\u8fdb\u884c\u989c\u8272\u7a7a\u95f4\u7684\u8f6c\u6362\u548c\u63d0\u53d6\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728Python\u4e2d\u63d0\u53d6HSV\u989c\u8272\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u4f7f\u7528OpenCV\u5e93<\/p>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u5e7f\u6cdb\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u3002\u4f7f\u7528OpenCV\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u56fe\u50cf\u4eceBGR\u683c\u5f0f\u8f6c\u6362\u4e3aHSV\u683c\u5f0f\uff0c\u5e76\u63d0\u53d6\u7279\u5b9a\u989c\u8272\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5OpenCV<\/li>\n<\/ol>\n<p><p>\u8981\u4f7f\u7528OpenCV\u5e93\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u5b83\u3002\u53ef\u4ee5\u901a\u8fc7pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u8bfb\u53d6\u56fe\u50cf\u5e76\u8f6c\u6362\u4e3aHSV<\/li>\n<\/ol>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u8bfb\u53d6\u56fe\u50cf\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aHSV\u989c\u8272\u7a7a\u95f4\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n<p>image = cv2.imread(&#39;image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u4eceBGR\u8f6c\u6362\u4e3aHSV<\/strong><\/h2>\n<p>hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"3\">\n<li>\u63d0\u53d6HSV\u989c\u8272<\/li>\n<\/ol>\n<p><p>\u4e00\u65e6\u6211\u4eec\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aHSV\u989c\u8272\u7a7a\u95f4\uff0c\u5c31\u53ef\u4ee5\u63d0\u53d6\u7279\u5b9a\u7684\u989c\u8272\u8303\u56f4\u3002\u4f8b\u5982\uff0c\u8981\u63d0\u53d6\u7ea2\u8272\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9a\u4e49HSV\u7684\u8303\u56f4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u5b9a\u4e49HSV\u989c\u8272\u8303\u56f4<\/strong><\/h2>\n<p>lower_red = np.array([0, 120, 70])<\/p>\n<p>upper_red = np.array([10, 255, 255])<\/p>\n<h2><strong>\u521b\u5efa\u63a9\u7801<\/strong><\/h2>\n<p>mask = cv2.inRange(hsv_image, lower_red, upper_red)<\/p>\n<h2><strong>\u63d0\u53d6\u7ea2\u8272\u90e8\u5206<\/strong><\/h2>\n<p>red_extracted = cv2.bitwise_and(image, image, mask=mask)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u6211\u4eec\u53ef\u4ee5\u63d0\u53d6\u56fe\u50cf\u4e2d\u7684\u7ea2\u8272\u90e8\u5206\uff0c\u5e76\u901a\u8fc7\u521b\u5efa\u63a9\u7801\u6765\u663e\u793a\u63d0\u53d6\u7ed3\u679c\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001HSV\u989c\u8272\u7a7a\u95f4\u4ecb\u7ecd<\/p>\n<\/p>\n<p><p>\u5728\u7406\u89e3\u5982\u4f55\u63d0\u53d6HSV\u989c\u8272\u4e4b\u524d\uff0c\u91cd\u8981\u7684\u662f\u4e86\u89e3HSV\u989c\u8272\u7a7a\u95f4\u7684\u7ec4\u6210\u3002HSV\u662f\u8272\u8c03\uff08Hue\uff09\u3001\u9971\u548c\u5ea6\uff08Saturation\uff09\u548c\u660e\u5ea6\uff08Value\uff09\u7684\u7f29\u5199\u3002<\/p>\n<\/p>\n<ol>\n<li>\u8272\u8c03\uff08Hue\uff09<\/li>\n<\/ol>\n<p><p>\u8272\u8c03\u8868\u793a\u989c\u8272\u7684\u7c7b\u578b\uff0c\u4ee5\u89d2\u5ea6\u8868\u793a\uff0c\u8303\u56f4\u4ece0\u5230360\u5ea6\u3002\u5728OpenCV\u4e2d\uff0c\u8272\u8c03\u88ab\u7f29\u653e\u52300-180\u7684\u8303\u56f4\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li>\u9971\u548c\u5ea6\uff08Saturation\uff09<\/li>\n<\/ol>\n<p><p>\u9971\u548c\u5ea6\u8868\u793a\u989c\u8272\u7684\u7eaf\u5ea6\u6216\u5f3a\u5ea6\uff0c\u8303\u56f4\u4ece0\u5230100%\u3002\u5728OpenCV\u4e2d\uff0c\u9971\u548c\u5ea6\u88ab\u7f29\u653e\u52300-255\u7684\u8303\u56f4\u3002<\/p>\n<\/p>\n<ol start=\"3\">\n<li>\u660e\u5ea6\uff08Value\uff09<\/li>\n<\/ol>\n<p><p>\u660e\u5ea6\u8868\u793a\u989c\u8272\u7684\u4eae\u5ea6\uff0c\u8303\u56f4\u4ece0\u5230100%\u3002\u5728OpenCV\u4e2d\uff0c\u660e\u5ea6\u88ab\u7f29\u653e\u52300-255\u7684\u8303\u56f4\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u4f7f\u7528NumPy\u8fdb\u884c\u56fe\u50cf\u64cd\u4f5c<\/p>\n<\/p>\n<p><p>\u9664\u4e86\u4f7f\u7528OpenCV\u5e93\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u8fdb\u884c\u56fe\u50cf\u64cd\u4f5c\u3002NumPy\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u7ec4\u64cd\u4f5c\u529f\u80fd\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u76f4\u63a5\u5bf9\u56fe\u50cf\u6570\u7ec4\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<\/p>\n<ol>\n<li>\u8bfb\u53d6\u56fe\u50cf\u5e76\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/li>\n<\/ol>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u50cf\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">image = cv2.imread(&#39;image.jpg&#39;)<\/p>\n<p>image_array = np.array(image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u76f4\u63a5\u64cd\u4f5cHSV\u503c<\/li>\n<\/ol>\n<p><p>\u4e00\u65e6\u6211\u4eec\u6709\u4e86\u56fe\u50cf\u7684NumPy\u6570\u7ec4\uff0c\u5c31\u53ef\u4ee5\u76f4\u63a5\u64cd\u4f5cHSV\u503c\u3002\u4f8b\u5982\uff0c\u6539\u53d8\u7279\u5b9a\u533a\u57df\u7684HSV\u503c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5c06\u56fe\u50cf\u4eceBGR\u8f6c\u6362\u4e3aHSV<\/p>\n<p>hsv_image = cv2.cvtColor(image_array, cv2.COLOR_BGR2HSV)<\/p>\n<h2><strong>\u6539\u53d8\u7279\u5b9a\u533a\u57df\u7684HSV\u503c<\/strong><\/h2>\n<p>hsv_image[100:200, 100:200, 0] = 90  # \u6539\u53d8\u8272\u8c03<\/p>\n<p>hsv_image[100:200, 100:200, 1] = 150 # \u6539\u53d8\u9971\u548c\u5ea6<\/p>\n<p>hsv_image[100:200, 100:200, 2] = 200 # \u6539\u53d8\u660e\u5ea6<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u5bf9\u56fe\u50cf\u7684HSV\u503c\u8fdb\u884c\u64cd\u4f5c\uff0c\u6ee1\u8db3\u4e0d\u540c\u7684\u56fe\u50cf\u5904\u7406\u9700\u6c42\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001HSV\u989c\u8272\u63d0\u53d6\u7684\u5e94\u7528<\/p>\n<\/p>\n<p><p>HSV\u989c\u8272\u63d0\u53d6\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\u6709\u8bb8\u591a\u5e94\u7528\uff0c\u5305\u62ec\u989c\u8272\u5206\u5272\u3001\u76ee\u6807\u68c0\u6d4b\u548c\u56fe\u50cf\u589e\u5f3a\u7b49\u3002<\/p>\n<\/p>\n<ol>\n<li>\u989c\u8272\u5206\u5272<\/li>\n<\/ol>\n<p><p>\u989c\u8272\u5206\u5272\u662f\u6307\u4ece\u56fe\u50cf\u4e2d\u63d0\u53d6\u7279\u5b9a\u989c\u8272\u7684\u533a\u57df\u3002\u901a\u8fc7HSV\u989c\u8272\u63d0\u53d6\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li>\u76ee\u6807\u68c0\u6d4b<\/li>\n<\/ol>\n<p><p>\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\uff0c\u76ee\u6807\u68c0\u6d4b\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u4efb\u52a1\u3002\u901a\u8fc7\u63d0\u53d6\u7279\u5b9a\u989c\u8272\u7684\u76ee\u6807\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9e\u73b0\u76ee\u6807\u68c0\u6d4b\u3002<\/p>\n<\/p>\n<ol start=\"3\">\n<li>\u56fe\u50cf\u589e\u5f3a<\/li>\n<\/ol>\n<p><p>\u56fe\u50cf\u589e\u5f3a\u662f\u6307\u901a\u8fc7\u8c03\u6574\u56fe\u50cf\u7684\u4eae\u5ea6\u3001\u5bf9\u6bd4\u5ea6\u548c\u9971\u548c\u5ea6\u6765\u6539\u5584\u56fe\u50cf\u7684\u89c6\u89c9\u6548\u679c\u3002\u4f7f\u7528HSV\u989c\u8272\u63d0\u53d6\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9e\u73b0\u56fe\u50cf\u589e\u5f3a\u529f\u80fd\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u63d0\u53d6HSV\u989c\u8272\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u4f7f\u7528OpenCV\u5e93\u548cNumPy\u8fdb\u884c\u56fe\u50cf\u64cd\u4f5c\u3002\u901a\u8fc7\u5c06\u56fe\u50cf\u4eceBGR\u8f6c\u6362\u4e3aHSV\u683c\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u63d0\u53d6\u548c\u64cd\u4f5c\u7279\u5b9a\u989c\u8272\u3002HSV\u989c\u8272\u63d0\u53d6\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5305\u62ec\u989c\u8272\u5206\u5272\u3001\u76ee\u6807\u68c0\u6d4b\u548c\u56fe\u50cf\u589e\u5f3a\u7b49\u3002\u65e0\u8bba\u662f\u4f7f\u7528OpenCV\u5e93\u8fd8\u662fNumPy\uff0c\u6211\u4eec\u90fd\u53ef\u4ee5\u7075\u6d3b\u5730\u5b9e\u73b0HSV\u989c\u8272\u7684\u63d0\u53d6\u548c\u5904\u7406\u3002\u5e0c\u671b\u672c\u6587\u80fd\u591f\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528HSV\u989c\u8272\u63d0\u53d6\u6280\u672f\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> 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