Search - gradient of image m file

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[Special Effects] m-file DL : 0: 《数字图像处理》源码部分函数列表 bayesgauss - Bayes classifier for Gaussian patterns. bound2eight - Convert 4-connected boundary to 8-connected. bound2four - Convert 8-connected boundary to 4-connected. bound2im - Convert boundary to image. boundaries - Trace region boundaries. bsubsamp - Subsample a boundary. colorgrad - Vector gradient of RGB image. colorseg - Segment a color image. connectpoly - Connect vertices of polygon. diameter - Measure diameter of image regions. -" Digital image processing," sourceing
Date : 2025-07-09 Size : 147kb User : hsj
[GDI-Bitmap] huazi DL : 0: 两个代码一个是demo, demo是它的小样例子, 另外一个是它的源代码. - - This is the matlab implementation of following noise level estimation: Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi Noise Level Estimation Using Weak Textured Patches of a Single Noisy Image IEEE International Conference on Image Processing (ICIP), 2012. - Copyright (C) 2012 Masayuki Tanaka. All rights reserved. mtanaka@ctrl.titech.ac.jp - Contents - * NoiseLevel.m The main code of the noise level estimation. You can show the description by > help NoiseLevel demo.m also includes simple usage. This algorithm is implemented with only single m file. * demo.m Demonstration example. * lena.png Sample image. * README.txt This file. - Note - We used the maximum eigenvalue of the gradient covariance matrix
Date : 2025-07-09 Size : 3kb User : 马欢
[matlab] Fast_GVF_v1.0 DL : 0: The C++/MEX implementation of Gradient Vector Flow (GVF) is much faster than the Matlab implementation. There is a demo.m file in this package, which shows how to run a simple demo. The package is used by: [1] Quan Wang, Kim L. Boyer, The active geometric shape model: A new robust deformable shape model and its applications , Computer Vision and Image Understanding, Volume 116, Issue 12, December 2012, Pages 1178-1194, ISSN 1077-3142, 10.1016/j.cviu.2012.08.004. -The C++/MEX implementation of Gradient Vector Flow (GVF) is much faster than the Matlab implementation. There is a demo.m file in this package, which shows how to run a simple demo. The package is used by: [1] Quan Wang, Kim L. Boyer, The active geometric shape model: A new robust deformable shape model and its applications , Computer Vision and Image Understanding, Volume 116, Issue 12, December 2012, Pages 1178-1194, ISSN 1077-3142, 10.1016/j.cviu.2012.08.004.
Date : 2025-07-09 Size : 6kb User : NandaAldira