regiongrow

计算交通格子模型的能量耗散和污染排放，包括 一氧化碳，一氧化氮，和其他污染物的排放，并在一图表中进行比较(Traffic grid calculation model of energy dissipation and pollution emissions, including carbon monoxide, nitrogen oxides, and other pollutants, and comparing in a chart)

说明：  Matlab环境下的k-means聚类算法，实现图像分割，很快阿！(K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!)

FISM——结构相似度，它的功能为评价图像去噪效果，值越接近1，去噪结果越好。(FISM-- structural similarity, it functions is for the evaluation of image denoising effect, closer the value is to 1, better is the denoising results.)

形态学图像增强算法，包括对比度增强和边缘锐化(Morphological image enhancement algorithms, including contrast enhancement and edge sharpening)

图像融合中常用的评价指标（非常全面）如：平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。(Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual information, signal to noise ratio, peak signal to noise ratio, root mean square error, spacefrequency, standard deviation, mean, distorting the degree of deviation index.)

new edge-directed interpolation这篇文章所提算法的matlab实现(new edge-directed interpolation algorithm in this article referred to realize matlab)

通过Matlab实现维纳滤波及逆滤波复原图像 不使用matlab自带函数 而是自编程序实现(Matlab to achieve through the Wiener filter and inverse filter to recover the image does not use function but rather bring their own self-matlab program)

基于PCA主成分分析算法和Yale人脸数据库，采用Matlab语言实现的人脸识别程序，整个程序分为预处理、训练、识别、GUI界面控制等几个模块，注释清晰，通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divided into several modules, including pretreatment, training, recognition, GUI interface control and so on. The annotation is clear and easy to understand.)

背景差分法运动目标检测，建立背景模型，然后使用当前模型与背景模型相减，再和阈值相比较，比阈值大的即判断为有运动目标，比阈值小的即判断为没有运动目标，阈值大小可以自己适当调试，根据经验值设置最佳阈值。(Background difference method is used for moving target detection and setting up background model, then using current model and background model subtracting, and comparing with threshold, it is judged to have moving target compared with the threshold value, which is smaller than threshold. The size of threshold can be adjusted properly, and the best threshold is set according to experience value.)

使用边缘跟踪，种子填充等算法提取图像边界，然后使用并行的方法来计算图像的距离图。(using edge tracking and seed filling algorithm to detect the edges of images, then use the parallel approach to the calculation of the distance between the image map.)