水平集的图像分割方法的窄带技术的MATLAB代码

关于国内最新的信息融合技术，用于图像的处理中-Domestic-to-date information on the integration of technology for image processing

此程序段是用于对比度调整的MATLAB算法。-incontrast

JPEG解码器的硬件语言描述，主要的描述语言是verilog,用硬件结构实现了解码功能。-JPEG decoder hardware description language, the main language is described in verilog, with hardware structure realize the decoding capabilities.

基于小波的图像边缘检测程序，希望大家喜欢，谢谢大家。-Images based on wavelet edge detection procedure

粒子滤波器是基于序贯Monte Carlo仿真方法的非线性滤波算法,可以解决所以线性，非线性问题。-Particle Filter is based on sequential Monte Carlo simulation method of nonlinear filtering algorithms, can be solved so linear, nonlinear problems.

用VTK与VC++混合实现对人体等值面的绘制，内含人体数据信息-used VTK VC mixed with the human equivalent of achieving surface mapping, data messages containing human body

K均值图像分割，读入彩色图片，输出区域分割后的图片-K-means image segmentation, read full-color photographs, the output image after the region segmentation

集成了多种块运动估计算法，对刚接触运动估计算法的同学非常具有参考价值。-Integration of a variety of block motion estimation algorithm for motion estimation algorithm刚接触students have great reference value.

这是俄罗斯的一个博士的博士论文的配套源码，实现了GRAPH CUT用于立体视觉的匹配，它改善了传统GRAPH CUT计算耗时的缺点，他还因此称为微软一员，专门从事GRAPH CUT在图像处理上的应用。程序写的很精简，写的很好，反复学过很多遍，这也是C/C++爱好者提高编程能力的一个很好的学习样本，很值得仔细反复阅读。-This is a Russian doctoral thesis, Dr. supporting source, realize the GRAPH CUT for stereovision matching, which improves the calculation of time-consuming traditional GRAPH CUT shortcomings, he also is why they are called a Microsoft, which specializes in GRAPH CUT in image processing applications. Procedures written in very concise, well written, repeatedly studied many times before, this is C/C++ Lovers programming ability to enhance a good learning samples, it is worth reading carefully repeated.

图像比对是以原件的图像为基准，对待鉴定件图像进行预处理、定位、配准；再对原件及待鉴定件的图像进行相似度比对；计算出两者的相似度数值。 -Image than on the original image is based on identification of pieces of treated image pre-processing, positioning, registration again and to be identified on the original piece of image similarity matching calculate the similarity between the two values.