GM

图像处理实现计算信噪比功能，Image processing functions to achieve SNR calculation(Image processing functions to achieve SNR calculation)

数字图像处理的基础知识学习 涵盖源代码，有助于提高编程(digital image processing )

第8章 图象的检测及模板匹配 图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。(Chapter 8 Detection of image template matching and image segmentation and detection (recognition) is actually a very difficult task. It is hard to say clearly why the image should be divided into such and not as.)

《智能图像处理技术》——由李弼程等编写，区别于大多传统的图像处理技术书籍，该书主要讨论了图像处理的最新发展，如图像的特征分析、配准、融合、分类等技术，具有前沿性和先进性( Intelligent image processing technology - such as prepared by Bicheng, mostly from the traditional image processing technology books, the book discusses the latest developments in image processing, such as the characteristics of image analysis, registration, integration, classification and other technology, having cutting-edge and advanced)

基于Hessian矩阵对输入的心血管图像进行增强和分割(The input cardiovascular images are enhanced and segmented based on the Hessian matrix)

adaboostcode，这是matlab环境下的adaboost代码，希望对各位有帮助。(adaboostcode, this is the matlab environment AdaBoost code, you want to be helpful.)

基于各向异性扩散的医学图像的边缘检测与分割处理(Based on the anisotropic diffusion of medical image segmentation and edge detection)

多维OTSU阈值分割方法，能够实现二维图像多阈值分割(Multidimensional OTSU thresholding methods, able to achieve the two-dimensional image multi-threshold segmentation)

高斯混合模型的最大期望迭代求解算法,可用于图像区域灰度分布估计(Expectation maximazation(EM) for Gaussian mixture model(GMM) )

源码包括了常用的图像处理方法，代码详细，适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)