Description: 一个非常好的圆检测代码,和大家一起分享,QQ:52628977.-a very good circle detection code, and share with everyone, QQ : 52628977. Platform: |
Size: 149504 |
Author:adan |
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Description: Hough变换快速实现多圆检测的算法。没有使用循环，但内存需求大。-Hough transform and more quickly realize the algorithm for circle detection. Do not use the cycle, but the memory demand. Platform: |
Size: 1024 |
Author:major |
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Description: 利用Matlab实现的,利用Hough变换进行圆检测算法。-The use of Matlab to achieve, the use of Hough transform for circle detection algorithm. Platform: |
Size: 2048 |
Author:孙汶 |
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Description: houph变换，通过梯度函数得到图像的梯度矩阵，通过检测圆检测眼睛位置。-houph transform, through the gradient function to be the image gradient matrix, circle detection by detecting the location of the eyes. Platform: |
Size: 7168 |
Author:严峰 |
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Description: Hough变换对圆的检测
Hough变换的基本原理在于，利用点与线的对偶性，将图像空间的线条变为参数空间的聚集点，从而检测给定图像是否存在给定性质的曲线。
-Hough transform for circle detection Hough transform basic principle is that the use of point and line duality, the image space into a parameter space of lines gather, thus detecting the existence of a given image given the nature of the curve. Platform: |
Size: 13312 |
Author:huangyusheng |
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Description: 这个matlab程序通过标准的hough变换，并指定圆半径的情况下，在二值图像中检测圆。-The matlab program through standard hough transform, and specify the radius, the two values in the detection of circular images. Platform: |
Size: 37888 |
Author:eddielee |
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Description: M_MAP教你如何用MATLAB绘制海洋、大气类的图。可以使用各种投影，添加各种精度的岸线，绘制的图清晰美观。-M_MAP teach you how to use MATLAB mapping ocean, the atmosphere kind of map. Can use a variety of projection, the line to add a variety of precision, drawing a clear appearance of the map. Platform: |
Size: 53248 |
Author:lijin |
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Description: 程序可实现人眼虹膜、眼睑及睫毛分割，主要功能有：（1）虹膜内外圆的霍夫圆检测；（2）眼睑检测以及参数方程的求解；（3）睫毛的最优化阈值处理。
vc文件夹下包含以下四个内容：（1）最后编译生成的.exe文件；（2）包含主要算法的.h头文件；（3）两幅原始图像（yangjing1.bmp,yanjing2.bmp）；（4）两幅经过MATLAB进行自适应直方图均衡化的图像（yanjing11.bmp,yanjing22.bmp）-Program can achieve human iris, eyelids and eyelashes segmentation, the main features are: (1) iris inside and outside the circle Hough circle detection (2) eyelid detection and parameter equation (3) the optimal threshold eyelash treatment. vc folder contains the following four elements: (1) generated by the final compilation. exe files (2) contains the main algorithm. h header files (3) the two original image (yangjing1.bmp, yanjing2.bmp) (4) After two MATLAB adaptive histogram equalization image (yanjing11.bmp, yanjing22.bmp) Platform: |
Size: 154624 |
Author:郭卉 |
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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 |
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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 |
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Search - detection circle by matlab