Description: 在Matlab上基于Hough变换开发的快速圆检测方法，可应用到虹膜图象的检测中，完成对虹膜内、外边缘的定位。 -in Matlab Hough transform based on the rapid development of a round detection method can be applied to the detection of iris image, the completion of the iris, outside edge positioning. Platform: |
Size: 1024 |
Author:djksdf |
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Description: 圆心检测算法，使用matlab根据sci文章仿写，在图像质量不高的情况下检测效率较高。-Center of a circle detection algorithm, the use of matlab under the sci article仿写, image quality is not high in the case of a higher detection efficiency. Platform: |
Size: 7094272 |
Author:闪烁的星云 |
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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: 利用hough变换来进行圆形检测.Function uses Standard Hough Transform to detect circles in a binary image.According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. upper left corner of image is the origin of coordinate system.-Using hough transform for circle detection. Function uses Standard Hough Transform to detect circles in a binary image.According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. Upper left corner of image is the origin of coordinate system. Platform: |
Size: 2048 |
Author:华思雨 |
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Description: 圆的hough变换边缘检测及提取，Matlab程序，对图像方面的研究和学习有一定帮助。-Hough transform circle edge detection and extraction, Matlab program, the image of research and learning have some help. Platform: |
Size: 110592 |
Author:nickzhlf |
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Description: 利用MATLAB实现的一些图像处理程序 有利用HOUGH变换实现圆的检测 也有实现均值处理的以及同台滤波处理还有中值滤波的-The use of MATLAB implementation of a number of image processing procedures have to use HOUGH transform circle detection also realize there is implementation of the deal, as well as the mean filter treatment have the same median filter of Platform: |
Size: 4096 |
Author:刘东 |
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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, circle detection is the basic principle of Hough transform, using point and line duality, the lines of the image space into a rallying point for the parameter space so as to detect the existence of a given image given the nature of the curve. Platform: |
Size: 13312 |
Author:罗慧 |
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Description: 这是一个关于齿轮的齿顶圆和齿根圆半径的计算程序，先将图片预处理和二值化，然后进行边缘检测求出圆心，最后用平均法求出半径。-This is an addendum on the gear tooth root radius circle and the calculation procedure, the first image preprocessing and binarization, edge detection and then find the center of a circle, with the final calculated average radius. Platform: |
Size: 550912 |
Author:小小 |
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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: 主要用于实现matlab区域标记
将图像中的各个区域分别进行标记,然后计算出他们的面积
-Hough transform Hough transform for circle detection Hough transform basic principle is that the use of the duality of points and lines, the lines of the image space into a rallying point for the parameter space, in order to detect the existence of a given image given the nature of the curve. Circle equation is: through the Hough transform, the image space corresponds to the parameter space. Platform: |
Size: 7168 |
Author:mark |
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Search - circle detection in image matlab