hough变换源码 用于检测直线或圆形等

用于对原始图像根据指定图像的直方图进行匹配的matlab函数。用于改善图像的对比度。-Used for the original image histogram according to the specified image to match the matlab function. Be used to improve the image contrast.

本书为川大的朱允民教授的《multisenor_decision_and_fusion》一书，供有关人员下载-The book for the Sichuan University Professor Zhu Yunmin of the

产生高斯分布随机数，一次写论文时用到的，希望对你也有用-Have a Gaussian distribution random number, one used to write papers, I hope you are also useful for

这只是在图形图像处理学中对经典的那几张图片进行一些简单的处理。-This is in the Graphics Processing images of the classic it for a few pictures of some simple processing.

针对图像的噪声，进行平滑去噪，中值滤波，邻域平均法，还有产生椒盐噪声和随机噪声。取自《vc++图像处理程序设计》第5章-Against the image noise, denoising smoothing, median filtering, neighborhood averaging method, as well as generate Salt and pepper noise and random noise. Retrieved from " vc++ image processing program design," Chapter 5

This code implements the well-known Chan-Vese segmentation algorithm from the paper "Active Contours Without Edges." This technique deforms an initial curve so that it separates foreground from background based on the means of the two regions. The technique is very robust to initialization and gives very nice results when there is a difference between the foreground and background means. This code uses active contours and level sets in the implementation. It could also serve as a good framework for implementing all kinds of region-based active contour energies. 1.) Download 2.) Unzip 3.) Run >>region_seg_demo See this site for experiments, videos, and more information on segmentation, active contours, and level sets: [ http://www.shawnlankton.com/2007/05/active-contours/ ]

介绍数字图像处理方面的知识 包括理论、设计和应用 仅供参考-Introduction of digital image processing knowledge, including theory, design and application for reference only

一个国外的大牛用C＃写的sift拼接程序，很有价值。-one of the largest foreign cattle with C# write sift splicing process and of great value.

bivalueis about image

（原创）包括冲激响应不变法设计ButterWorth数字低通滤波器、双线性变换法设计ButterWorth数字低通滤波器、和双线性变换法设计ChebyshevI型数字低通滤波器-(Original) includes the same impulse response ButterWorth Design of digital low-pass filters, bilinear transform design ButterWorth digital low-pass filter, and the bilinear transform design ChebyshevI digital low-pass filter