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边缘检测1.制作一张包括色块、线条的单色背景图片，先对其作低通滤波产生一幅色块和线条边缘模糊的降质图片待处理，采用任意二种边缘检测算法检测待处理图片中的色块和线条的边缘，得到二值化的处理结果图。从结果图中提取色块和线条的边界坐标值，与实际生成原始图像时采用的真实坐标数据作比较，对产生的检测误差作分析。2.拍摄一张包含待检测物体的黑白或者彩色照片，试采用一种边缘检测的算法做待检测物体的自动提取，对生成的结果作分析。-Edge Detection 1. To produce a including
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VC环境下,主要完成对影像的预处理以及边缘检测等功能.通过直接线性变换公式推算得到相应的坐标-VC environment, mainly to complete the image pre-processing and edge detection functions. By direct linear transformation formula corresponding coordinate projections
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Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value
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Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value
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Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value
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Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value
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0下载：
Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value
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0下载：
Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value
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0下载：
Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value
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基于opencv的use摄像头视频采集程序 1
基于opencv的两个摄像头数据采集 3
能激发你用代码做视频的冲动程序 6
图像反转（就是把黑的变白，白的变黑） 11
图像格式的转换 12
从摄像头或者AVI文件中得到视频流，对视频流进行边缘检测 13
采用Canny算子进行边缘检测 15
角点检测 18
图像的旋转加缩放（效果很拽，用地球做就像谷歌地球似的） 21
Log-Polar极坐标变换 22
对图像进行形态学操作（图像的开闭，腐蚀和膨胀运算）
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nonmaxsup——非最大值抑制
hysthresh——设定阈值区间，返回一个二值化图像
canny——边缘探测，图像边缘增强
adjgamma——调整图像的伽马值
findline——利用线性Hough变换和Canny边缘探测得到的线上各点的坐标
circlecoords——返回由圆的半径和圆心坐标决定的圆上各点像素的坐标
houghcircle——取一幅经过canny变换的图像，利用hough变换找到图像中的一个圆
findcircle——计算所得线上各点
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确定几何形状的质心坐标，通过边缘检测确定几何变形，然后你和出质心-Determine the centroid coordinate geometry, through edge detection to determine the geometric deformation, then you and the centroid
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亚像素级的边缘检测，并将边缘坐标输出到文本文件-Subpixel edge detection, edge and will coordinate output to a text file
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