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根据论文Harris C. A combined corner and edge detector[J]. Proc Alvey Vision Conf, 1988, 1988(3):147-151实现Harris角点检测(Harris corner detection)

一种新颖的退化图像复原方法。适用于水下图像复原，图像去雾，颜色矫正等。运用最大差值先验假设和最大局部对比度先验假设，得到退化图像的深度图，简单有效，快速。结合软抠图法和个、shades of the gray 算法实现图像去雾和水下图像复原。(2016CVPR General Participative Media Single Image Restoration)

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

isar成像处理，对测试数据进行处理的模板，可以显示二维像(ISAR imaging processing, the test data processing template, you can display the 2D image )

基于互信息的图像配准源代码，，采用粒子群优化算法可直接使用。 (Based on mutual information image registration source code, using particle swarm optimization algorithm can be used directly.)

KMS跟踪算法源代码，目前最快的但目标跟踪算法（没有之一）。工程可以直接运行(KMS tracking algorithm source code, but the fastest target tracking algorithm. Project can be run directly)

彩色图像融合 NSCT 实现红外与可见光图像融合(Color image fusion NSCT realize infrared and visible image fusion)

提出了基于小波变换的图像融合方法，并分析了可见光与红外图像的融合结果(An image fusion method based on wavelet transform is proposed, and the fusion results of visible and infrared images are analyzed.)

说明：  对24位的彩色图像用中位切分(中位区分）法将其转换成8位索引图像，并且生成对应的颜色查找表。(median-cut algorithm,8-bit index map, lookup table,256 colors,)

KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。(KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install OpenCV.)