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张量分析(第二版)清晰版—黄克智，一本很好的对张量进行操作的很好的书籍(operation tensor book)

图像纹理特征提取，是图像处理中一另一个非常重要的底层特征，matlab实现(Image texture feature extraction, image processing are very important to one another underlying characteristics, matlab implementation)

介绍了粒子滤波目前主要应用领域, 最后对粒子滤波的发展提出了展望。(Describes the particle filter is currently the main application areas, and finally the development of particle filter raised prospects.)

本设计主要目的是实现染色体的识别计数。首先对图形进行预处理，将图像转化为灰度图、滤波去噪，然后对图像进行二值化，合理选取阈值，进行直方图阈值处理，最后去除图像中面积过小的杂点，最终实现识别计数。(The main purpose of this design is to achieve the identification of chromosome count. The graphical pre-processing, the image is converted to grayscale, filtering denoising, image binarization, reasonable selection of the threshold, histogram thresholding, and finally remove the image area is too small noise , and ultimately identify the count.)

基于RGB的彩色图像分割方法，可在matlab里直接使用(Study of color image segmentation algorithm)

求一个图像的最大内接矩形面积。 步骤： 1.相机标定。首先根据物像关系式求出其中的参数。注意参数求出后要进行参数校验。 2.从背景中分离出目标 3.边缘检测 4.目标形状参数计算。(For an image of the largest inscribed rectangle area. Steps: 1. Camera calibration. First of all object-image relationship in accordance with the parameters obtained. Attention to the parameters obtained after parameter calibration. 2. From the context of isolated target 3. Edge detection 4. Target shape parameters.)

关于干涉合成孔径雷达（INSAR）的图像处理程序~(Interferometric synthetic aperture radar (INSAR) image processing program ~)

文章对比分析了火焰不同的形状结构特征，及其特征组合对火焰检测有效性的影响，提出了一种融合圆形度、矩形度和重心高度系数的火焰检测算法，然后将融合后的火焰特征输入支持向量机(SVM)中进行分类( Based on fusion of these flame features，the support vector machine (SVM) is used for classi- fication． Experimental results on the fire videos at Bilkent University show that the proposed algorithm is efficient and fast for fire detection，and it could detect fire real-time under a variety of circumstances．)

用EM算法进行图像的分割，matlab源代码。(EM algorithm using image segmentation, matlab source code.)

外国人写的图像融合处理工具以及GUI界面 源代码 相信会对你有所帮助(foreigners write image-processing tools and the integration of the GUI interface believe that the source code will help you)