FaintCurvedEdgeDetection-master
所属分类：图形图象
开发工具：matlab
文件大小：4341KB
下载次数：10
上传日期：2020-03-23 15:19:52
上 传 者：
恍惚间不回避
说明： 用于检测图像中物体边缘的曲线，基于Matlab的噪声图像弱边缘检测。
(It is used to detect the curve of the object edge in the image, and the weak edge detection of noise image based on MATLAB.)
文件列表:
1.bmp (156922, 2015-01-27)
2.bmp (156442, 2015-01-27)
3.bmp (156442, 2015-01-27)
4.bmp (156922, 2015-01-27)
binDemo.m (373, 2015-01-27)
createFile.m (517, 2015-01-27)
demo.m (515, 2019-05-10)
Files\bot5_0.mat (28920, 2015-01-27)
Files\bot5_2.mat (32288, 2015-01-27)
getPrm.m (487, 2015-01-27)
Images\6.jpg (862194, 2019-03-07)
Images\CC.png (14309, 2015-01-27)
Images\CC_res.png (1197, 2015-01-27)
Images\Sines.png (14286, 2015-01-27)
Images\Sines_res.png (724, 2015-01-27)
Images\Sqr.png (14274, 2015-01-27)
Images\Sqr_res.png (359, 2015-01-27)
images000.tiff (6257792, 2015-01-27)
merge15.m (5213, 2015-01-27)
merge2.m (4226, 2015-01-27)
run.m (796, 2015-01-27)
runIm.m (22770, 2015-01-27)
runReal.m (1125, 2015-01-27)
Files (0, 2015-01-27)
Images (0, 2019-05-08)
FaintCurvedEdgeDetection
========================
Detector of faint edges in noisy images for Matlab.
This detector is relatively slow, I suggest to use one of my two other solutions for faint edge detection.
If you want faster solution for curved edges try:
https://github.com/NatiOfir/TrianglesEdgeDetection.git
Usage in Matlab:
>> I = im2double(imread('img.png'));
>> I = runIm(I);
See demo.m for example.
Important Files:
getPrm.m - Params of the algorithm
近期下载者：
相关文件：
收藏者：