antcolonyalgorithm

多尺度快速角点检测算法（FAST).Adaptive and generic corner detection based on the accelerated segment test. 出处 Computer Vision–ECCV 2010(Multi-scale fast corner detection algorithm (FAST) Adaptive and generic corner detection based on the accelerated segment test. Computer Vision-ECCV 2010)

matlab中图像的循环读入程序，我做了图像imadd叠加操作，别的函数也可以类似的使用这种循环(matlab image read into the program cycle, I make an image overlay imadd operations, other functions can also be similar to the use of this Cycle)

主要思想是用meanshift算法跟踪目标，拖动矩形框选择目标模板，meanshift自动跟踪 本程序的主要缺陷体现在帧差法自动识别目标，这部分功能与上一个功能独立，可用可不用，用于自动识别目标，效果不是很好，主要体现在对图像视频的要求是 背景（目标以外的所有事物）不能动(The main idea is to use meanshift algorithm to track the target and drag a rectangle to select the target template, meanshift automatic tracking The main drawback of the program is reflected in the frame difference method automatically identifies the target, which is part of the function and one function independently, may or may not, be used to automatically identify the target, the effect is not very good, mainly reflected in the requirements of the video image is the background (target All things outside) can not move)

利用visualC++和图像处理的知识，编写程序对果蔬进行自动识别(Using visualC++ and image processing knowledge, write a program for automatic identification of fruits and vegetables)

基于图像签名的显著性区域检测，算法很巧妙，好用(computation of a saliency map based on the Image Signature, as described in the following paper: "Image Signature: Highlighting sparse salient regions", Xiaodi Hou, Jonathan Harel, and Christof Koch, IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 194-201 (2012))

说明：  SAR回拨模拟及CS算法成像，参考书：合成孔径雷达成像原理（皮亦鸣）(CS algorithm for SAR call-back simulation and imaging, reference books: Synthetic aperture radar imaging principle (PI Yi-ming))

遥感图像处理代码，遥感图像自动变化检测代码，根据不同时相的图像自动检测变化信息(Remote sensing image processing code)

基于傅里叶描述子对旋转、平移等运动的不敏感性，识别目标(recognize the objects with rotation, translation, etc based on fourier descriptor.)

Segmentation Algorithm

一种基于改进DRLSE的运动目标分割方法,为了得到精准、连续的运动目标轮廓，提出将帧间差分法和改进的距离规则水平集演化(DRLSE)方法结合应用于运动目标分割。(In order to get an accurate and continuous contour of moving target, a novel method to segment moving object by combining the frame difference and an improved distance regularized level set evolution (DRLSE) is proposed. )