python

介绍了一种显著性检测，程序可以直接运行，可以得到显著图像，有图像源。(propose a bottom-up visual saliency detection algorithm. Different most previous methods that mainly concentrate on image object, we take both background and foreground into consideration. )

基于颜色特征向量的粒子滤波跟踪程序，修复了因粒子超过窗口范围出现ERROR的BUG，还包括了一些有助于粒子滤波学习的资料！！(color-based particle filter tracking, some bugs have been fixed, some information about PF Tracking is included too!!)

这是一个关于图像处理的程序，能够将像素比较低的图像变成分辨率高的图像.(This is a matter of image processing procedures, can be relatively low-pixel high resolution image into the image.)

本程序是用似然比检验的方法进行profile中的变点检测(This procedure is used likelihood ratio test method of change point detection profile)

matlab画二维折线图，通过此程序可以在matlab中绘制二维折线图(matlab draw two-dimensional line chart, through this program in matlab draw two-dimensional line chart)

说明：  matlab图像处理用于目标分割，分割后的图像在用形态学滤波处理(matlab image processing for object segmentation, image segmentation using morphological filtering deal)

医学图像重建算法中OSEM算法的Matlab程序(MATLAB Program of OSEM Algorithms)

说明：  合成孔径雷达CS成像算法，运用该算法获得成像结果(CS synthetic aperture radar imaging algorithm, imaging results obtained using this algorithm)

数字图像处理(Digital Image Processing)是通过计算机对图像进行去除噪声、增强、复原、分割、提取特征等处理的方法和技术。 [1] 数字图像处理的产生和迅速发展主要受三个因素的影响：一是计算机的发展；二是数学的发展（特别是离散数学理论的创立和完善）;三是广泛的农牧业、林业、环境、军事、工业和医学等方面的应用需求的增长(Digital Image Processing (DIP) is a method and technology of removing noise, enhancing, restoring, segmenting and extracting features from images by computer. [1] The emergence and rapid development of digital image processing are mainly influenced by three factors: first, the development of computer; second, the development of mathematics (especially the establishment and improvement of discrete mathematics theory); third, the growth of the demand for extensive applications in agriculture, animal husbandry, forestry, environment, military, industry and medicine.)

在HSV色彩空间进行彩色图像分割源码，包括学习和训练算法，获得分割参数(In the HSV color space for color image segmentation source code, including learning and training algorithm, access to segmentation parameters)