{"id":15856,"date":"2022-10-13T07:34:54","date_gmt":"2022-10-13T02:04:54","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-how-to-i-extract-objects-closed\/"},"modified":"2022-10-13T07:34:54","modified_gmt":"2022-10-13T02:04:54","slug":"solved-how-to-i-extract-objects-closed","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-how-to-i-extract-objects-closed\/","title":{"rendered":"[Solved] How to I extract objects? [closed]"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-70853228\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"70853228\" data-parentid=\"70852674\" data-score=\"0\" data-position-on-page=\"1\" data-highest-scored=\"1\" data-question-has-accepted-highest-score=\"1\" itemprop=\"acceptedAnswer\" itemscope itemtype=\"https:\/\/schema.org\/Answer\">\n<div class=\"post-layout\">\n<div class=\"votecell post-layout--left\"><\/div>\n<div class=\"answercell post-layout--right\">\n<div class=\"s-prose js-post-body\" itemprop=\"text\">\n<p>First load the img from the url<\/p>\n<pre><code>import numpy as np\nimport urllib.request\nfrom PIL import Image\nfrom matplotlib import pyplot as plt\n\nurllib.request.urlretrieve(\n  'https:\/\/i.stack.imgur.com\/GRHzg.png',\n   \"img.png\")\nimg = Image.open(\"img.png\")\nimg.show()\n<\/code><\/pre>\n<p><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/jassweb.com\/solved\/wp-content\/uploads\/2022\/10\/Solved-How-to-I-extract-objects-closed.png\"><img decoding=\"async\" src=\"https:\/\/jassweb.com\/solved\/wp-content\/uploads\/2022\/10\/Solved-How-to-I-extract-objects-closed.png\" alt=\"enter image description here\"><\/a><\/p>\n<p>Then consider the black part as &#8220;filled&#8221; and convert in numpy array<\/p>\n<pre><code>arr = (np.array(img)[:,:,:-1].sum(axis=-1)==0)\n<\/code><\/pre>\n<p>If we sum the rows values for each column we can have a simple sum of how much pixel are filled in each column:<\/p>\n<pre><code>plt.subplot(211)\nplt.imshow(arr, aspect=\"auto\")\nplt.subplot(212)\nplt.plot(arr.sum(axis=0))\nplt.xlim(0,arr.shape[1])\n<\/code><\/pre>\n<p><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/jassweb.com\/solved\/wp-content\/uploads\/2022\/10\/1665626693_596_Solved-How-to-I-extract-objects-closed.png\"><img decoding=\"async\" src=\"https:\/\/jassweb.com\/solved\/wp-content\/uploads\/2022\/10\/1665626693_596_Solved-How-to-I-extract-objects-closed.png\" alt=\"enter image description here\"><\/a><\/p>\n<p>finally if we compute the differential of this sum over the columns we can obtain the following result:<\/p>\n<pre><code>plt.subplot(211)\nplt.imshow(arr, aspect=\"auto\")\nplt.subplot(212)\nplt.plot(np.diff(arr.sum(axis=0)))\nplt.xlim(0,arr.shape[1])\n<\/code><\/pre>\n<p><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/jassweb.com\/solved\/wp-content\/uploads\/2022\/10\/1665626693_765_Solved-How-to-I-extract-objects-closed.png\"><img decoding=\"async\" src=\"https:\/\/jassweb.com\/solved\/wp-content\/uploads\/2022\/10\/1665626693_765_Solved-How-to-I-extract-objects-closed.png\" alt=\"enter image description here\"><\/a><\/p>\n<p>At this point you can simply chose a threshold and cut the image:<\/p>\n<pre><code>threshold = 25\ncut = np.abs(np.diff(arr.sum(axis=0)))&gt;threshold\nx_lines = np.arange(len(cut))[cut]\n\nplt.imshow(arr, aspect=\"auto\")\nplt.vlines(x_lines, 0, arr.shape[0], color=\"r\")\n<\/code><\/pre>\n<p><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/jassweb.com\/solved\/wp-content\/uploads\/2022\/10\/1665626694_155_Solved-How-to-I-extract-objects-closed.png\"><img decoding=\"async\" src=\"https:\/\/jassweb.com\/solved\/wp-content\/uploads\/2022\/10\/1665626694_155_Solved-How-to-I-extract-objects-closed.png\" alt=\"enter image description here\"><\/a><\/p>\n<p>This is my solution and it works fine, but it is sensitive to the chosen threshold and to the columns gradient. I hope it is useful.<\/p>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\">7<\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved How to I extract objects? [closed] <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] First load the img from the url import numpy as np import urllib.request from PIL import Image from matplotlib import pyplot as plt urllib.request.urlretrieve( &#8216;https:\/\/i.stack.imgur.com\/GRHzg.png&#8217;, &#8220;img.png&#8221;) img = Image.open(&#8220;img.png&#8221;) img.show() Then consider the black part as &#8220;filled&#8221; and convert in numpy array arr = (np.array(img)[:,:,:-1].sum(axis=-1)==0) If we sum the rows values for each column &#8230; <a title=\"[Solved] How to I extract objects? [closed]\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-how-to-i-extract-objects-closed\/\" aria-label=\"More on [Solved] How to I extract objects? [closed]\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[349],"class_list":["post-15856","post","type-post","status-publish","format-standard","hentry","category-solved","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>[Solved] How to I extract objects? [closed] - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-how-to-i-extract-objects-closed\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] How to I extract objects? 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