image-segmentation-program

本手册主要介绍粒子滤波的基本原理和其在非线性系统的应用（主要是目标跟踪、多目标跟踪、电源寿命预测方面的应用）。同时本手册最大的优点是介绍原理和应用的同时，给出实现例子的matlab代码程序，方便读者对照公式，理解代码。因此，它是相关方面的研究者快速上手和进入研究领域的快捷工具。同时，对于有一定基础的研究者，可以在本手册提供代码的基础上，做算法进一步改进和深入研究。(This manual describes the basic principles of particle filter and its application in nonlinear systems. The biggest advantage of this manual is to introduce the principles and applications of the same time, given the matlab code example implementation program, formula for the convenience of readers, to understand the code. Therefore, it is relevant researchers to quickly get up and running enter research areas shortcut tool. , Based researchers, on the basis of this manual code to do the algorithm to further improve and in-depth study.)

通过高通滤波器实现对图像的锐化处理，能去除不需要的模糊轮廓而加强边缘的对比度。(Image sharpening to achieve through a high-pass filter, and enhance the contrast edges blurred outline can remove unwanted.)

说明：  遥感高光谱图像处理，实现丰度估计；传统sansul算法(remote sensing,image processing,abundance estimation method)

最大最小距离 聚类算法，可以对一维或者二维信号进行聚类分析。尤其是两类化情况较好时。(maxmum and minimum Cluster Algorithm)

说明：  Forstner算子提取特征点 Forstner算子 提取特征点 (Forstner operator extracting feature points Forstner operator extracting feature points)

说明：  使用LazySnapping算法对GrabCut算法进行改进(There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy.)

drfi图像显著性检测算法源码,基本上是目前表现最好的算法，需要m和c混合编程(source code of DRFI model)

理解频域处理与空间域处理的等效关系与步骤，掌握频域相乘与空间域循环卷积之间的对等关系，理解DFT运算中补零的效果。(Understand the equivalent relationship and steps of frequency domain processing and space domain processing, understand the reciprocal relationship between frequency domain multiplication and space domain circular convolution, and understand the effect of zero padding in DFT operation.)

基于灰度图像进行傅立叶变换后的二值化处理(Binarization based on the Fourier transform after the gray image processing)

用halcon给实际采集的图像进行畸变矫正，然后可以再人为添加一定程度的畸变，以便于定量研究，可运行已调试，可作为学习参考(Halcon is used to correct the distortion of the image collected, and then the human can add some degree of distortion to facilitate quantitative research. It can be run and debugged, and can be used as a reference for study)