Matlab图像处理软件包， Matlab图像处理软件包，Matlab图像处理软件包...

vc++和OpenCV结合找出图片中的角点，并且做出标记。此程序同时可以用于图片特征点的提取，用于特征匹配的后续开发做准备。-vc++ and OpenCV combination to find the picture of the corner and make a tag. At the same time, this procedure can be used for image feature points extraction, feature matching for the follow-up to prepare for development.

该源码是一个基于图像处理的相机自动调焦系统。-the source is based on an image processing camera auto-focusing system.

TPicShow is an image slider control with 171 transitional effects in pure Delphi code. The major characteristics of TPicShow are: Image transition can be controlled programmatically Image can be stretched or centered in the client area of the control Control can show a background image as centered, stretched, or tiled Transition process can use a separated thread New transitional effects can be easily implemented and added to the control TDBPicShow is the data-aware version of TPicShow with ability to load bitmap, jpeg, and metafile images (natively) from a blob field.

源码功能包括：细胞边缘检测，癌细胞形态学分析，癌细胞颜色分析 -Source features include: cell edge detection, morphological analysis of cancer cells, cancer cells color analysis

图像处理 自己编写的，能处理256色位图-Image processing have written to deal with 256-color bitmap

利用遗传算法迭代得到分割的最优阈值，其中用了otsu法则，是otsu分割的一种改进。-Iterative use of genetic algorithm to be optimal segmentation threshold, which used the Otsu rules, Otsu segmentation is an improvement.

经典的图像处理理论基础书籍，涵盖了图像处理的原则、方法等，有详细的课后练习。-Classic theoretical basis of image processing books, covering image processing principles, methods, etc., there are detailed after-school practice.

基于带电流体模型的脑图像分割方法， 该方法是active contour的一个变体，但不同于level set的机理，可以自动处理拓扑的变化，而且速度非常快！-Charged_Fluid_Model_for_Brain_Image_Segmentation

基于均值漂移算法实现图像的分割，总共带有三个文件，其中两个是两个子程序-Based on mean-shift image segmentation algorithm, with a total of three documents, two of which are the two subroutines

空域数字图像线性滤波器和频域非递归滤波器（包括：频域变换法、频域抽样法和窗函数法）的Matlab实现。-Airspace linear digital image filters and frequency-domain non-recursive filter (including: frequency-domain transformation method, frequency-domain sampling method and window function method) of the Matlab implementation.