{"id":361,"date":"2017-08-26T09:43:18","date_gmt":"2017-08-26T01:43:18","guid":{"rendered":"http:\/\/zkeeer.space\/?p=361"},"modified":"2024-07-30T09:49:44","modified_gmt":"2024-07-30T01:49:44","slug":"%e5%9b%be%e5%83%8f%e9%aa%8c%e8%af%81%e7%a0%81%e8%af%86%e5%88%ab-%e5%8e%bb%e5%99%aa%e3%80%81%e5%88%87%e5%89%b2%e3%80%81%e8%ae%ad%e7%bb%83%e3%80%81%e4%bc%98%e5%8c%96","status":"publish","type":"post","link":"http:\/\/zkeeer.space\/?p=361","title":{"rendered":"\u56fe\u50cf\u9a8c\u8bc1\u7801\u8bc6\u522b–\u53bb\u566a\u3001\u5207\u5272\u3001\u8bad\u7ec3\u3001\u4f18\u5316"},"content":{"rendered":"

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\n\u4f5c\u8005\uff1a\u77e5\u4e4e–Owen Yu<\/a><\/p>\n

\u672c\u6587\u5df2\u5f97\u5230\u4f5c\u8005\u6388\u6743<\/p><\/blockquote>\n

\u76ee\u524d\uff0c\u5f88\u591a\u7f51\u7ad9\u4e3a\u4e86\u53cd\u722c\u90fd\u4f1a\u91c7\u53d6\u5404\u79cd\u5404\u6837\u7684\u7b56\u7565\uff0c\u6bd4\u8f83\u7b80\u5355\u7c97\u66b4\u7684\u4e00\u79cd\u505a\u6cd5\u5c31\u662f\u56fe\u7247\u9a8c\u8bc1\u7801\uff0c\u968f\u7740\u722c\u866b\u6280\u672f\u4e0e\u53cd\u722c\u6280\u672f\u7684\u6f14\u53d8\uff0c\u76ee\u524d\u9a8c\u8bc1\u7801\u4e5f\u8d8a\u6765\u8d8a\u590d\u6742\uff0c\u6bd4\u8f83\u9ad8\u7aef\u7684\u5982Google\u7684I\u2018m not a robot\uff0c\u6781\u9a8c\u7b49\u7b49\u3002\u8fd9\u4e9b\u65b0\u7684\u53cd\u722c\u65b9\u5f0f\u5927\u591a\u90fd\u57fa\u4e8e\u7528\u6237\u884c\u4e3a\u5206\u6790\u7528\u6237\u70b9\u51fb\u524d\u7684\u9f20\u6807\u8f68\u8ff9\u6765\u5224\u65ad\u662f\u8bbf\u95ee\u8005\u662f\u7a0b\u5e8f\u8fd8\u662f\u4eba\u3002<\/p>\n

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\u5373\u4fbf\u662f\u4f20\u7edf\u7684\u56fe\u7247\u9a8c\u8bc1\u7801\uff0c\u4e5f\u662f\u6709\u96be\u5ea6\u533a\u5206\u7684\uff08\u7b2c\u4e00\u5f20\u56fe\u662f\u6211\u6bcd\u6821\u5b98\u7f51\u4e0a\u7684\u9a8c\u8bc1\u7801\uff0c\u57fa\u672c\u5f62\u540c\u865a\u8bbe\uff1b\u7b2c\u4e8c\u5f20\u56fe\u5219\u662f\u67d0\u7f51\u7ad9\u7684\u4f1a\u5458\u767b\u5f55\u65f6\u7684\u9a8c\u8bc1\u7801\u589e\u52a0\u4e86\u4e00\u4e9b\u5e72\u6270\u4fe1\u606f\uff0c\u5b57\u7b26\u4e5f\u6709\u6240\u7c98\u8fde\uff09\uff0c\u4f46\u662f\u7834\u89e3\u7684\u6d41\u7a0b\u5927\u81f4\u662f\u4e00\u6837\u7684\u3002<\/p>\n

\"\"<\/p>\n

\u56fe1. \u7ecf\u5178\u9a8c\u8bc1\u7801<\/p>\n

 <\/p>\n

\"\"<\/p>\n

\u56fe2. \u7ecf\u5178\u9a8c\u8bc1\u7801<\/p>\n

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\u4e00\u3001\u83b7\u53d6\u6837\u672c<\/p>\n

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 <\/p>\n

\u4e8c\uff0c\u6837\u672c\u53bb\u566a<\/p>\n

1\uff0c\u5148\u4e8c\u503c\u5316\u56fe\u7247<\/p>\n

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 <\/p>\n

# \u4e8c\u503c\u5316\u56fe\u7247\r\n    @staticmethod\r\n    def two_value_img(img_path, threshold):\r\n        img = Image.open(img_path).convert('L')\r\n        #  setup a converting table with constant threshold\r\n        tables = []\r\n        for i in range(256):\r\n            if i < threshold:\r\n                tables.append(0)\r\n            else:\r\n                tables.append(1)\r\n\r\n        # convert to binary image by the table\r\n        bim = img.point(tables, '1')\r\n        return bim\r\n<\/pre>\n
\u6548\u679c\u5982\u4e0b\uff1a<\/p>\n
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\u56fe3. \u4e8c\u503c\u5316\u6548\u679c\u56fe<\/p>\n
2\uff0c\u56fe\u7247\u53bb\u566a<\/p>\n
\u8be5\u6848\u4f8b\u4e2d\u5c31\u662f\u53bb\u9664\u4e24\u6761\u5e72\u6270\u7ebf\uff0c\u5e38\u89c4\u7684\u53bb\u566a\u7b97\u6cd5\u6709\u5f88\u591a\uff08\u6d2a\u6c34\u6cd5\u7b49\u7b49\uff09\uff0c\u8fd9\u91cc\u6839\u636e\u56fe\u7247\u7684\u7279\u70b9\u91c7\u7528\u4e86\u4e24\u79cd\u53bb\u566a\u7b97\u6cd5\uff0c\u4e00\u79cd\u662f\u81ea\u5df1\u6839\u636e\u56fe\u7247\u7684\u7279\u5f81\u5b9e\u73b0\u7684\u7b97\u6cd5\uff0c\u53e6\u4e00\u79cd\u662f\u201c\u516b\u503c\u6cd5\u201d\u3002\u53bb\u566a\u540e\u7684\u6548\u679c\u5982\u4e0b\uff0c\u53ef\u4ee5\u770b\u5230\u53bb\u9664\u4e86\u5927\u90e8\u5206\u7684\u5e72\u6270\u7ebf\uff08\u5269\u4e0b\u7684\u6839\u636e\u5b57\u5bbd\u53ef\u4ee5\u76f4\u63a5\u8fc7\u6ee4\u6389\uff09\uff0c\u4f46\u662f\u90e8\u5206\u5b57\u7b26\u4e5f\u53d8\u7ec6\u4e86\uff0c\u6240\u4ee5\u8fd9\u4e00\u6b65\u7684\u53bb\u566a\u9600\u503c\u9700\u8981\u4e0d\u65ad\u8c03\u6574\uff0c\u5728\u53bb\u566a\u7684\u57fa\u7840\u4e0a\u8981\u5c3d\u91cf\u4fdd\u6301\u539f\u56fe\u7684\u5b8c\u6574\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n
\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
# \u6839\u636e\u56fe\u7247\u7279\u70b9\uff0c\u81ea\u5df1\u5199\u7684\u964d\u566a\u7b97\u6cd5\r\ndef clean_img(img, threshold):\r\n    width, height = img.size\r\n    for j in range(height):\r\n        for i in range(width):\r\n            point = img.getpixel((i, j))\r\n            if point == 0:\r\n                for x in range(threshold):\r\n                    if j + x >= height:\r\n                        break\r\n                    else:\r\n                        if point != img.getpixel((i, j + x)):\r\n                            img.putpixel((i, j), 1)\r\n                            break\r\n    return img\r\n\r\n\r\n# \u516b\u503c\u6cd5\u964d\u566a\r\ndef clean_img_eight(img, threshold):\r\n    width, height = img.size\r\n    arr = [[0 for col in range(width)] for row in range(height)]\r\n    arr = array(arr)\r\n    for j in range(height):\r\n        for i in range(width):\r\n            point = img.getpixel((i, j))\r\n            if point == 0:\r\n                sum = 0\r\n                for x in range(-1, 2):\r\n                    for y in range(-1, 2):\r\n                        if i + x > width - 1 or j + y > height - 1 or \\\r\n                                i + x < 0 or j + y < 0: sum += 1 else: sum += img.getpixel((i + x, j + y)) if sum >= threshold:\r\n                    arr[j, i] = 1\r\n\r\n    for i in range(len(arr)):\r\n        for j in range(len(arr[i])):\r\n            if arr[i, j] == 1:\r\n                img.putpixel((j, i), 1)\r\n    return img<\/pre>\n
\u6548\u679c\u5982\u4e0b\uff1a<\/p>\n
\"\"<\/p>\n
\u56fe4. \u964d\u566a\u6548\u679c\u56fe<\/p>\n
\u4e09\uff0c\u56fe\u7247\u5207\u5272<\/p>\n
\u56fe\u7247\u5207\u5272\u6709\u5f88\u591a\u7b97\u6cd5\u5982\u6295\u5f71\u6cd5\u3001CFS\u4ee5\u53ca\u6ef4\u6c34\u6cd5\u7b49\u3002\u6295\u5f71\u6cd5\u9002\u7528\u4e8e\u5b57\u7b26\u5782\u76f4\u65b9\u5411\u4e0a\u6ca1\u6709\u7c98\u8fde\u548c\u91cd\u5408\u7684\u60c5\u51b5\uff0cCFS\u80fd\u591f\u5f88\u597d\u7684\u5207\u5272\u5782\u76f4\u65b9\u5411\u6709\u7c98\u8fde\u4f46\u662f\u6ca1\u6709\u7c98\u8fde\u7684\u5b57\u7b26\uff0c\u6c34\u6ef4\u6cd5\u53ef\u4ee5\u5206\u5272\u7c98\u8fde\u5b57\u7b26\u3002\u76ee\u524d\u91c7\u7528\u7684CFS\u5207\u5272\u6cd5\u3002\u5207\u5272\u6548\u679c\u5982\u4e0b\u56fe\uff0c\u5bf9\u4e8e\u975e\u7c98\u8fde\u5b57\u7b26\uff0c\u6548\u679c\u5f88\u4e0d\u9519\u3002CFS\u8054\u901a\u57df\u5207\u5272\u7684\u5b9e\u73b0\u7b97\u6cd5\u4e3b\u8981\u7528\u7684\u662f\u56fe\u7684\u5e7f\u5ea6\/\u6df1\u5ea6\u904d\u5386\uff0c\u4e0a\u4ee3\u7801\uff1a<\/p>\n
 <\/p>\n
# CFS\u56fe\u50cf\u5207\u5272\r\n    @staticmethod\r\n    def cut_img(img, threshold, cut_width, cut_height, width_min, width_max, height_min):\r\n        charters_imgs = []\r\n        width, height = img.size\r\n        charters_pixels = []\r\n        visited_pixels = []\r\n        pixel_arr = ImgTools.get_pixel_arr(img)\r\n        for i in range(width):\r\n            for j in range(height):\r\n                pixel = img.getpixel((i, j))\r\n                if pixel == 0 and [i, j] not in visited_pixels:\r\n                    charter_pixels = Node(i, j, pixel_arr, []).traversal()\r\n                    visited_pixels.extend(charter_pixels)\r\n                    if len(charter_pixels) > threshold:\r\n                        charters_pixels.append(charter_pixels)\r\n        for i in range(len(charters_pixels)):\r\n            x_min = 0\r\n            y_min = 0\r\n            x_max = 0\r\n            y_max = 0\r\n            # \u8fd9\u91cc\u662f\u4e3a\u4e86\u5904\u7406\u6ca1\u6709\u7c98\u8fde\u4f46\u662f\u5782\u76f4\u65b9\u5411\u6709\u91cd\u5408\u7684\u5b57\u7b26\r\n            width, height = img.size\r\n            tmp_img = Image.new('1', (width * 2, height * 2), 255)\r\n            for j in range(len(charters_pixels[i])):\r\n                x, y = charters_pixels[i][j]\r\n                tmp_img.putpixel((x, y), 0)\r\n                if x > x_max:\r\n                    x_max = x\r\n                else:\r\n                    if x < x_min or x_min == 0: x_min = x if y > y_max:\r\n                    y_max = y\r\n                else:\r\n                    if y < y_min or y_min == 0:\r\n                        y_min = y\r\n            if width_min < x_max - x_min < width_max and y_max - y_min > height_min:\r\n                # charters_imgs.append(tmp_img.crop((x_min, y_min, x_max, y_max)))\r\n                # \u8fd9\u91cc\u662f\u4e3a\u4e86\u5c06\u6240\u6709\u7684\u56fe\u7247\u5207\u6210\u4e00\u6837\u5927\uff0c\u4fbf\u4e8e\u540e\u671f\u7684\u7279\u5f81\u63d0\u53d6\r\n                charters_imgs.append(tmp_img.crop((x_min, y_min, x_min + cut_width, y_min + cut_height)))\r\n        return charters_imgs\r\n<\/pre>\n
 <\/p>\n
class Node:\r\n    x = 0\r\n    y = 0\r\n    graph_arr = []\r\n    visited_neighbors = []\r\n\r\n    def __init__(self, x, y, graph_arr, visited_neighbors):\r\n        self.x = x\r\n        self.y = y\r\n        self.graph_arr = graph_arr\r\n        self.visited_neighbors = visited_neighbors\r\n\r\n    def traversal(self):\r\n        for i in range(-1, 2):\r\n            for j in range(-1, 2):\r\n                p = self.x + i\r\n                q = self.y + j\r\n                if (0 <= p < len(self.graph_arr)) and (0 <= q < len(self.graph_arr[0])):\r\n                    if array(self.graph_arr)[p, q] == 0 and [p, q] not in self.visited_neighbors:\r\n                        self.visited_neighbors.append([p, q])\r\n                        next_node = Node(p, q, self.graph_arr, self.visited_neighbors)\r\n                        next_node.traversal()\r\n        return self.visited_neighbors\r\n<\/pre>\n
\u6548\u679c\u5982\u4e0b\uff1a<\/p>\n
\"\"<\/p>\n
\u56fe5. \u5206\u5272\u6548\u679c\u56fe<\/p>\n
\u56db\uff0c\u63d0\u53d6feature\u5e76\u8bad\u7ec3\u7279\u5f81\u6a21\u578b<\/p>\n
1\uff0c\u63d0\u53d6feature<\/p>\n
\u6bcf\u4e2a\u5b57\u7b26\u7528\u4e8640\u4e2a\u6837\u672c\uff08\u6bcf\u4e2a\u5b57\u7b26\u90fd\u5207\u6210\u4e8660\u00d760\uff09\u8fdb\u884c\u6253\u6807\u7b7e\uff0c\u5982\u679c\u6548\u679c\u4e0d\u597d\u540e\u7eed\u53ef\u4ee5\u589e\u52a0\u6837\u672c\u91cf\uff08\u7531\u4e8eM\u5927\u591a\u6570\u7c98\u8fde\u4e25\u91cd\uff0c\u6240\u4ee5\u5207\u51fa\u6765\u7684M\u5f88\u5c11\uff0c\u6ca1\u6709\u8fbe\u523040\u4e2a\uff0c\u76f4\u63a5\u5bfc\u81f4\u540e\u9762M\u7684\u8bc6\u522b\u7ed3\u679c\u4e5f\u5f88\u4e0d\u597d\uff09\u3002<\/p>\n
\"\"<\/p>\n
\u56fe6. \u7ecf\u9884\u5904\u7406\u540e\u7684\u56fe<\/p>\n
2\uff0c\u8bad\u7ec3\u6a21\u578b<\/p>\n
\u8fd9\u91cc\u91c7\u7528\u4e86libsvm\u6765\u8bad\u7ec3\u6a21\u578b\uff0c\u4ece\u4e2a\u6837\u672c\u4e2d\u9884\u7559\u4e861\/10\u4e2a\u4f5c\u4e3a\u8bad\u7ec3\u96c6\uff0caccuracy\u8fbe\u523095%\u3002<\/p>\n
 <\/p>\n
\u4e94\uff0c\u8bc6\u522b\u6548\u679c<\/p>\n
\u5148\u624b\u52a8\u6311\u9009\u4e86\u201c\u4e4d\u4e00\u770b\u201d\u7c98\u8fde\u4e0d\u662f\u5f88\u4e25\u91cd\u768430\u4e2a\u6837\u672c\uff0c\u8fdb\u884c\u8bad\u7ec3\uff0c\u7ed3\u679c\u5982\u4e0b\uff0c\u572880%\u5de6\u53f3\u3002<\/p>\n
\"\"<\/p>\n
\u56fe7. \u9a8c\u8bc1\u7ed3\u679c<\/p>\n
\u516d\uff0c\u603b\u7ed3\u548c\u4f18\u5316\u65b9\u5411<\/p>\n
1\uff0c\u76ee\u524d\u6574\u4e2a\u8bc6\u522b\u6d41\u7a0b\u5df2\u7ecf\u8d70\u901a\uff0c\u9a8c\u8bc1\u7801\u8bc6\u522b\u670d\u52a1\u4e5f\u521d\u5177\u5bf9\u5916\u670d\u52a1\u7684\u80fd\u529b\uff1b<\/p>\n
2\uff0c\u867d\u7136\u76ee\u524d\u5bf9\u4e8e\u6574\u4f53\u9a8c\u8bc1\u7801\u7684\u8bc6\u522b\u6548\u679c\u4e0d\u662f\u5f88\u597d\uff0c\u4f46\u662f\uff0c\u9a8c\u8bc1\u7801\u670d\u52a1\u62fc\u7684\u662f\u8bc6\u522b\u7387\uff0c\u6bd4\u5982\u8bf4\u4e00\u4e2a\u9a8c\u8bc1\u7801\u9700\u8981\u8bc6\u522b\uff0c\u6211\u5728\u5bf9\u5176\u8fdb\u884c\u9884\u5904\u7406\u548c\u5207\u5272\u4e4b\u540e\u53d1\u73b0\u5b57\u7b26\u7c98\u8fde\u6548\u679c\u4e0d\u597d\uff0c\u5219\u5b8c\u5168\u53ef\u4ee5\u629b\u5f03\uff0c\u8fd9\u5e76\u4e0d\u5f71\u54cd\u8bc6\u522b\u7387\u3002\u6362\u53e5\u8bdd\u8bb2\u6211\u53ea\u662f\u522b\u5207\u51fa\u6765\u662f\u56db\u4e2a\u5b57\u7b26\u7684\u9a8c\u8bc1\u7801\u5373\u53ef\uff08\u5982\u679c\u9047\u5230\u4e00\u4e2a\u7f51\u7ad9\u6bcf\u4e2a\u56fe\u7247\u7684\u7c98\u8fde\u90fd\u6bd4\u8f83\u4e25\u91cd\uff0c\u8fd9\u6761\u8def\u5c31\u8d70\u4e0d\u901a\u4e86\uff09\uff1b<\/p>\n
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 <\/p>\n
\u6ce8,\u5206\u5272\u7b97\u6cd5\u53ef\u4ee5\u53c2\u8003\u7684\u6587\u7ae0\uff1a
\n\u57fa\u4e8e\u60ef\u6027\u5927\u6c34\u6ef4\u6ef4\u6c34\u7b97\u6cd5\u548c\u652f\u6301\u5411\u91cf\u673a\u7684\u7c98\u8fde\u5b57\u7b26\u9a8c\u8bc1\u7801\u8bc6\u522b<\/a>
\nlan2720\/fuck-captcha<\/a> \u5927\u6c34\u6ef4\u7b97\u6cd5\u4ee3\u7801\u5b9e\u73b0<\/p>\n","protected":false},"excerpt":{"rendered":"
\u539f\u6587\u51fa\u5904\uff1a\u56fe\u50cf\u8bc6\u522b–\u4f20\u7edf\u7684\u9a8c … More \u56fe\u50cf\u9a8c\u8bc1\u7801\u8bc6\u522b–\u53bb\u566a\u3001\u5207\u5272\u3001\u8bad\u7ec3\u3001\u4f18\u5316<\/span> →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[11,40,42,38,41,39],"_links":{"self":[{"href":"http:\/\/zkeeer.space\/index.php?rest_route=\/wp\/v2\/posts\/361"}],"collection":[{"href":"http:\/\/zkeeer.space\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/zkeeer.space\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/zkeeer.space\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/zkeeer.space\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=361"}],"version-history":[{"count":3,"href":"http:\/\/zkeeer.space\/index.php?rest_route=\/wp\/v2\/posts\/361\/revisions"}],"predecessor-version":[{"id":1104,"href":"http:\/\/zkeeer.space\/index.php?rest_route=\/wp\/v2\/posts\/361\/revisions\/1104"}],"wp:attachment":[{"href":"http:\/\/zkeeer.space\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=361"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/zkeeer.space\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=361"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/zkeeer.space\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=361"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}