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	<title>opencv - 四号程序员</title>
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		<title>用opencv检查是否为白纸</title>
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		<pubDate>Thu, 27 Apr 2023 09:47:24 +0000</pubDate>
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					<description><![CDATA[def check_blank_image(file): img = cv2.imread(file) if img is None: return False # grary img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # threshold to two value image ret,thresh = cv2.threshold(img, 150, 255,cv2.THRESH_BINARY)[......] 继续阅读]]></description>
		
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		<title>opencv拼接图片和切分图片</title>
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		<pubDate>Mon, 24 Apr 2023 01:32:09 +0000</pubDate>
				<category><![CDATA[opencv]]></category>
		<category><![CDATA[切分]]></category>
		<category><![CDATA[图片]]></category>
		<category><![CDATA[拼接]]></category>
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					<description><![CDATA[1 左右拼接(height要求一样) import cv2 from google.colab.patches import cv2_imshow img_left = cv2.imread("./left.jpg") img_right = cv2.imread("./right.jpg") img = cv2.hconcat([img_left, img_right]) cv2.imwrite("merge.jpg", img) 2 垂直拼接(width要求一样） i[......] 继续阅读]]></description>
		
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		<title>OpenCV判断图片是否模糊</title>
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		<dc:creator><![CDATA[coder4]]></dc:creator>
		<pubDate>Fri, 30 Oct 2020 14:13:54 +0000</pubDate>
				<category><![CDATA[算法&数据结构]]></category>
		<category><![CDATA[opencv]]></category>
		<category><![CDATA[图片]]></category>
		<category><![CDATA[模糊]]></category>
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					<description><![CDATA[合理用最简单的拉普拉斯算子，可以参考这篇文章：https://my.oschina.net/u/4611954/blog/4585054 # image = cv2.imread(imagePath) def variance_of_laplacian(image): gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) return cv2.Laplacian(image, cv2.CV_64F).var() # 越大越清晰[......] 继续阅读]]></description>
		
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