用vc编写的一个canny边缘检验算子 很好用 效果还可以

该软件功能很好，请大家下下来可以直接进行实用，是一个比较小的应用软件-The software features a very good, let us down under can be directly useful, is a relatively small application software

ITK 是美国国家卫生院下属的国立医学图书馆投入巨资支持三家科研机构开发 医学影像分割与配准算法的研发平台，现已开发了初步版本。是医学影像算法平台的 重要组成部分。 -Itk are affiliated with the United States National Institutes of Health National Library of Medicine invest huge sums of money to support the three research institutions to develop medical image segmentation and registration algorithm R

数学形态学的主要优点是计算简单和并行快速，一般只包含布尔运算、加减法运算而不需要做先进乘法，易于硬件实现，-The main advantage of mathematical morphology is to calculate simple and fast parallel, generally contain only Boolean operations, add and subtract operations without the need for the multiplication of advanced, easy hardware implementation,

这是一个非常好的视网膜皮层理论算法，里面含有代码。-This is a very good theoretical algorithm retinal cortex, which contains the code.

This collection of m-files will only get you through the very bear necessities (Look for the ...) of a single-run fMRI-analysis. Its actual aim is to illustrate the efficacy of spatial regularisation of the autocorrelation esimate in the framework of prewhitening the data to correct for serial correlations in the data, as described in the following paper: Gautama, T. and Van Hulle, M.M. (2004), Optimal Spatial Regularisation of Autocorrelation Estimates in fMRI Analysis, NeuroImage, in press.

基于图象小波变换的图象编码的经典算法．程序中包括压缩和解压缩的过程，有可执行的示例．-Image-Based Wavelet Transform Image Coding Algorithm classic. Procedures, including compression and decompression process, the sample has executable.

基于小波的人脸识别算法的实现。这是我们研究时写的代码，实际应用时可根据自己的需要做适当的调整改变。-Face recognition based on wavelet algorithm implementation. This is our study writing code, the actual application can be based on their own needs appropriate adjustments to change.

fish 快速图象分割 内含4个Matlab应用程序

可以进行图像的DCT变换 说明程序虽小，但是是原创-Can explain the image DCT transform process is small, but it is original

可实现与graph-cuts算法相似的图像分割效果. 他借用了生物形态学知识，将每一个像素视为一个细胞，这些细胞可能是前景，背景，或其他。这些细胞依据其灰度竞争获得生长，由此获得分割。-This algorithm is presented as an alternative to graph-cuts. The operation is very simple, and can be thought of with a biological metaphor: Imagine each image pixel is a "cell" of a certain type. These cells can be foreground, background, undefined, or others. As the algorithm proceeds, these cells compete to dominate the image domain. The ability of the cells to spread is related to the image pixel intensity