target-detection-and-tracking

说明：  根据：基于不变矩特征和神经网络的图像模式模糊分类 论文 在matlab上做的实验，有7个不变矩生成和神经网络分类的代码，还要论文原文(According to: Based on the characteristics of moment invariants and neural network image mode fuzzy classification papers in matlab to do the experiment, there are seven moment invariants and neural network classifier to generate the code, but also the original papers)

数字图像处理中图像的增强方便的源代码，包括图像灰度修正，图像的平滑，中值滤波，图像的锐化，伪彩色和假彩色的增强等(Digital image processing image enhancement convenient source code, including the gray correction, image smoothing, median filtering, image sharpening, pseudo-color and false color enhancement, etc.)

说明：  水平集C-V模型，用水平集算法实现三幅图像的自动分割。(The level set C- V model，with the level set algorithm to realize three image segmentation)

图像修复算法 及 仿真程序代码 2011年《基于纹理特征的自适应图像修复算法》(the image inpainting algorithm and its matlab code “Adaptive Image Inpainting Algorithm Based On the Texture Feature” )

ISODATA算法是在k-均值算法的基础上，增加对聚类结果的“合并”和“分裂”两个操作，并设定算法运行控制参数的一种聚类算法,从而实现遥感影像的非监督分类(ISODATA algorithm is a clustering algorithm based on K-means algorithm, which adds two operations of "merging" and "splitting" of clustering results, and sets the operation control parameters of the algorithm, so as to realize unsupervised classification of remote sensing images.)

改进SIFT算法，用于光学图像和SAR图像配准(Improved SIFT methods for Registration of Optical and SAR image.)

编程实现LoG或Sobel算子，并利用该算子提取给定图像中的边缘；全局最优阀值和自适应阀值分割的工作原理，编程实现阀值分割算法。 (Programming LoG or Sobel operator, and using the edge of the operator to extract a given image global optimal threshold and adaptive threshold segmentation of the working principle of programming to achieve a threshold segmentation algorithm.)

说明：  对图像目标识别和提取，主要通过改进非线性阈值分割实现(For image target recognition and extraction, the main method is to improve the non-linear threshold segmentation.)

图像配准和拼接，肯定可以使用。。。harris+ransac(Image registration and stitching, they can definitely use. . .)

图像库中有240幅完整的和残缺的飞机和舰船遥感图像。可用hu矩对其特征提取，用于分类。(Image library has 240 complete and incomplete aircraft and ships remote sensing images. Available hu moments of its feature extraction for classification.)