guiyihuachengxu

说明：  face recognition example for learning

matlab电子稳像块匹配算法程序代码 图片路径请自行更改(Electronic Image Stabilization matlab code image block matching algorithm to change the path at your own)

用matlab实现的对数极坐标转换图像配准算法，实验证明效果不错(Using matlab realize logarithmic polar coordinate conversion image registration algorithm, experiments show good results)

数学形态学及相关算法的C语言实现实例 源代码调用OpenCV的cxcore和highgui两个库，应用C语言编写，实现对染色体图像中染色体数目的统计。代码中的核心算法为数学形态学的重要算法——开运算、闭运算（腐蚀和膨胀）。包含腐蚀处理、膨胀处理、自适应中值滤波、微分直方图法确定二值化阈值、种子填充算法等图像处理算法的C语言实现，值得参考。(Mathematical Morphology and related algorithms realize the C language source code examples of cxcore call OpenCV and highgui two libraries, the application of C language to realize pairs of chromosomes in the chromosome number of image statistics. The core algorithm code for an important mathematical morphology algorithms- open operation, closing operation (corrosion and expansion). Contains corrosion treatment, expansion of treatment, adaptive median filter, histogram method to determine differential binarization threshold, the seed fill algorithm, such as image processing algorithms realize the C language, it is also useful.)

游程编码是是一种有效的信源编码，能够实现对二值化的图像或者二元序列进行压缩，且具有较好的压缩率。(this program is a good kind of RLC. It could come out rlc, and could compression binary sequences and image )

实现dicom和bmp之间的转换。适合医学图像中的最初学习。(transformation between dicom and bmp image.)

用于运动人体的图像特征提取，提取的特征包括，高宽比，速度，紧密度，灰度共生矩阵，hu矩，主成分分析，离散余弦变化，图像的预处理等。(Image feature extraction for moving human body includes features such as aspect ratio, speed, tightness, gray level co-occurrence matrix, Hu moments, principal component analysis, discrete cosine transform, image preprocessing and so on.)

Timesat3.2，用于遥感影像的NDVI时间序列分析，提取物候参数。 (Timesat3.2, NDVI time series for the analysis of remote sensing images, extract phenological parameters.)

hough变换对圆的检测源代码，附带图片以及程序说明(hough transform the detection of circular source code, fringe shows and procedures Photo)

说明：  图像处理案例，本程序是用matlab语言上基于多尺度形态学完成提取眼前节组织的功能(Image processing case, this program is based on multi-scale morphology using MATLAB language to complete the extraction of anterior segment tissue function.)