MRF-based-image-segmentation

实现粘连分割，对有粘连的物体分割效果很好，使用了局部极值结合分水岭算法(Achieve adhesion segmentation, to have adhesion object segmentation effect is very good, the use of the local extremum combined with watershed algorithm )

Compression of face images impact the performance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintains high image quality in facial regions while compressing the background more, with minimal impact on FR performance.(Compression of face images impact the perf ormance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintai ns high image quality in facial regions while co mpressing the background more, with minimal impact on FR performance.)

利用灰度积分投影直接对输入的人脸图像进行检测，并进行眼睛的定位(Using gray integral projection directly on the input of face image detection, and eye location)

基于matlab的查找并剔除野值的程序,在信号处理与数据分析方面很好用(matlab find error)

image segmentation with ICM algoritm

图像混色源码例程,程序结合易语言应用接口支持库和位图操作支持库，调用API函数实现图像的混色效果。(Source image blending routines, combined with easy language application program interface to support libraries and bitmap operations support library , call the API functions for image blending effect .)

说明：  把两幅有相互重叠部分的图片拼接在一起，合成一副大的图片(There is some overlap between the two pictures spliced together, synthesized a large picture)

说明：  SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

matlab的关于图像处理的一些简单源代码，大家可以试一试，欢迎下载(Matlab on image processing some simple source code, you can try downloading welcome)

超宽带雷达信号二维FFT求速度和距离，速度补偿后的算法(Ultra-wideband radar signal 2D FFT for speed and distance, speed compensated algorithm)