the matlab codes for digital image process

contourlet变换源代码,图象处理方面有广泛应用空间-MATLAB source code that implements the contourlet transform and its utility functions. See paper "The contourlet transform: an efficient directional multiresolution image representation" included in this zip file. -Contourlet transform source code, image processing has a broad application of space-MATLAB source code that implements the contourlet transform and its utility functions. See paper

为编写Cellprofiler的新模块，matlab源程序。 用于臻选被完全包围的对象-Cellprofiler for the preparation of new modules, matlab source. Zhen election for the object is completely surrounded by

这是一个walsh变换的原程序，用C语言编写，希望对大家有帮助。-This is a walsh transform the original program, with C language, and I hope to be helpful.

多种图像边缘检测与分割处理的源代码，开发平台是matlab，需要的可以-A variety of image edge detection and segmentation of the deal with the source code, development platform is matlab, need to be

ENVI高光谱处理，展示如何使用ENVI先进的高光谱工具对多光谱数据进行分析。要更好地理解高光谱处理的概念及其工具，请参见ENVI高光谱辅导指南-Show how to use the ENVI hyperspectral tools of advanced multi-spectral data analysis. To better understand the concept of hyperspectral processing and its tools, please see the ENVI hyperspectral Counseling Guide

bp神经网络在图像压缩中的应用源代码，欢迎下载。-bp neural network in image compression source code, welcome to download.

track1.m是二值图像边界跟踪的主程序，boundary_trace.m是二值图像边界跟踪的调用程序，完成图像的边界跟踪。 track2.m是灰度图像边界跟踪的主程序，boundary_trace2.m是灰度图像边界跟踪的调用程序。-track1.m is a binary image of the main border track, boundary_trace.m is a binary image border call tracking procedure to track the completion of the border image. track2.m gray image is the border of the main track, boundary_trace2.m is a gray image boundary tracking procedure call.

利用小波变换技术图像融合方法从模糊图像中恢复图像，并给出结果-Using Wavelet Transform Image Fusion technology of fuzzy images from the resumption of images, and gives results

C++图像处理编程的书籍源码和资料，主要是图象处理方面的示例-C++ programming books, image processing, source code and data, mainly an example of image processing

SIFT，介绍局部特征不变向量原理。同时利用SIFT进行图像的分割和识别。比较基础的资料-SIFT, introduce the principle of local feature vector unchanged. At the same time, the use of SIFT to image segmentation and identification. Comparison of basic information