opencv 利用cv.matchShapes()函数实现图像识别技术
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数字图像处理入门第19节:Emboss滤波器实现,用Emboss滤波器增强图像轮廓
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posted @ 2020-03-17 00:24
数字图像处理入门第18节:拉普拉斯滤波器实现,利用laplacian滤波器实现图像锐化
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posted @ 2020-03-16 21:35
数字图像处理入门第17节:用Prewitt滤波器对图像进行边缘检测,比较Prewitt算子和Sobel算子,并对两种滤波器提取图像边缘的效果进行比较。
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posted @ 2020-03-16 17:38
数字图像处理入门第16节:sobel算子及其python实现,利用sobel算子提取图像的水平、垂直边缘
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posted @ 2020-03-16 16:18
数字图像处理入门第15节:差分滤波器的实现及用于检测图像的水平、垂直、对角特征。
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posted @ 2020-03-16 13:50
数字图像处理入门第14节:Max-Min Filter 实现及用于检测图像边缘
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posted @ 2020-03-16 11:45
数字图像处理入门第11节:图像中值滤波,做了一个小实验,证明了对于椒盐噪声污染的图像,一般中值滤波的效果要好于均值滤波。
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posted @ 2020-03-15 21:54
数字图像处理入门第10节:图像椒盐噪声和高斯噪声
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posted @ 2020-03-15 20:52
数字图像处理入门第9节:高斯滤波
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posted @ 2020-03-15 16:40
数字图像处理入门第7节:图像平均池化
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posted @ 2020-03-15 11:12
数字图像处理入门第六节:HSV图像到RGB图像 RGB图像到HSV图像 色相翻转实现
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posted @ 2020-03-14 21:02
数字图像处理入门第5节:大津(Otsu's binarization)二值化算法
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posted @ 2020-03-14 19:10
数字图像处理入门第一节:利用opencv实现了图像的读取、显示和保存
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posted @ 2020-03-14 14:32