区域生长法

说明：  根据文献Verification of color vegetation indices for automated crop imaging applications所述方法实现的可见光（RGB）的植被提取，效果非常好，压缩文件内附有该文献英文原文，以及部分供测试图片。(According to the method described in the document verification of color vegetation indexes for automated cross imaging applications, the effect of vegetation extraction of visible light (RGB) is very good. The original English version of the document and some test pictures are attached to the compressed file.)

数字图像处理常见问题及编程技巧汇编。希望对这方面的学习者有所帮助(Data, the software architect exam is a comprehensive commo)

本程序采用水平集方法，演示了一个心形曲线在曲率力的作用下，逐渐消逝的过程。(This procedure uses the level set method, shows the process of a heart-shaped curve s disappearing under the force of the curvature.)

说明：  给定两张图片，利用ssim来计算两张图片他们之间的ssim相似度(compute ssim between two images)

斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination in A Dense Feature Representation The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )

统计图像中某区域在整个图像中所占的百分比.(comput the percentage of the gived area in the whole image)

说明：  SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alexander C. Berg. The official and original Caffe code can be found here. Table of Contents Installation Datasets Train Evaluate Performance Demos Future Work Reference

一个有关边缘检测 robert sobel FFT傅里叶变换等算法的demo(a demo using VC++ that implements the algorithms of edge detection and FFT)

1、去条带噪声（通道均衡）程序 2、去冲击噪声程序 3、KSVD程序 均为matlab源代码(1 to band noise (channel equalization) program 2, to the impact of noise program 3, KSVD program Matlab source code are)

训练图片中检测到的目标，检测特征是基于梯度方向直方图(training target)