Description: 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 blocks of color lines color the background picture, the first of its low-pass filter for a color blocks and lines produced lower quality images fuzzy edges to be processed, using any two edge detection algorithm to detect when processing in the image blocks of color and line the edge of the two values are the result of the treatment plan. Extracted from the results map the boundary blocks of color and line coordinates, the original image and the actual generated coordinate data used to compare the true, and on the detection of error for analysis. 2. Take a test to be included black and white or color photographs of objects, try using a edge detection algorithm on automatic extraction of objects to be detected, the results generated for analysis. Platform: |
Size: 661504 |
Author:tosh |
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Description: 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 Platform: |
Size: 4179968 |
Author:qsmwuda |
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Description: 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) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 1024 |
Author:boss |
Hits:
Description: 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) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 2048 |
Author:boss |
Hits:
Description: 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) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 1024 |
Author:boss |
Hits:
Description: 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) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 1024 |
Author:boss |
Hits:
Description: 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) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 1024 |
Author:boss |
Hits:
Description: 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) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 1024 |
Author:boss |
Hits:
Description: 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) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 1024 |
Author:boss |
Hits:
Description: 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） 24
用不同的核进行图像的二维滤波 27
图像域的填充 30
寻找轮廓实现视频流的运动目标检测（超推荐一下） 35
采用金字塔方法进行图像分割 40
图像的亮度变换 43
单通道图像的直方图 46
计算和显示彩色图像的二维色调-饱和度图像 48
图像的直方图均匀化 50
用Hongh变换检测线段 52
利用Hough变换检测圆（是圆不是椭圆） 57
距离变换 59
椭圆曲线拟合 64
由点集序列或数组创建凸外形 68
Delaunay三角形和Voronoi划分的迭代式构造 71
利用背景建模检测运动物体（推荐） 78
运动模板检测（摄像头） 81
显示如何利用Camshift算法进行彩色目标的跟踪 86
-Based on the use camera video capture program opencv 1
Based on the two camera data acquisition of OpenCV 3
Inspire your code to do video impulse program 6
Image reversal (that is, the black white, white to black) 11
Image format conversion 12
Get the video stream from the camera or AVI file, edge detection is performed on the video stream 13
Using Canny edge detection operator 15
Corner detection is 18
Image rotation and scaling (the effect is dragged by the earth, as Google earth like) 21
Log-Polar coordinate transformation is 22
Morphological operations on images (opening and closing, the image of the corrosion and expansion operations) 24
With different nuclear two-dimensional filtering image 27
The image domain 30 filling
To find the outline of implementation of target detection of video streaming (super recommend) 35
Using the Pyramid method for image segmentation 40
The brightness of the image transform 43
Single channel image histogram 46
Calculate and display Platform: |
Size: 1682432 |
Author:jianglei |
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Description: 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——计算所得线上各点的坐标归纳出一个圆的半径和圆心，确定该圆的各点坐标
gaborconvolve——利用一维盖伯滤波器对图像进行处理
gethammingdistance ——返回两幅虹膜图像提取的特征码之间的海明距离
linecoords——返回一条线的上各点的x,y坐标值-nonmaxsup- non-maximum suppression hysthresh- set the threshold range, returns a binary image canny- edge detection, image edge enhancement adjgamma- adjust the image' s gamma value findline- linear Hough transform and Canny edge detection get the coordinates of each point circlecoords online- Returns coordinate houghcircle on the circle of the radius and center coordinates of the points decision pixels- After taking a picture canny transformation, using hough transform to find the image of a circle findcircle- the calculated coordinates of each point line summed up a circle of radius and center, to determine the coordinates of each point of the circle gaborconvolve- using a 维盖伯 filter for image processing gethammingdistance- returns two iris images extracted linecoords Hamming distance between the signature- a return line to the points on the x, y coordinate values Platform: |
Size: 4573184 |
Author:廖志伟 |
Hits:
Description: 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 Platform: |
Size: 1024 |
Author:Meng |
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Description: 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 Platform: |
Size: 1024 |
Author:邹存宇 |
Hits:
Search - edge detection coordinate