2006011437_HW_2

brox的光流算法第二部分，用于对两帧图像进行光流分析并检测运动物体(Brox optical flow algorithm of the second part, used in optical flow analysis was carried out on the two frames and detect moving objects)

高光谱图像目标检测ACE算法，适用于已知目标信息情况(HYPERACE Performs the adaptive cosin/coherent estimator algorithm Performs the adaptive cosin/coherent estimator algorithm for target detection.)

hsv的空间量化，要求输入为hsv空间中的图像。分别对h、s、v三个分量进行量化。(hsv space quantization, for admission to hsv space images. Respectively h, s, v 3 components quantified.)

说明：  代码很好的实现了基于a-star的最短路径寻找算法，并可以对寻找的路径有一个限制(Code is a good realization of a-star-based shortest path search algorithms, and can find the path there is a limit)

Radon 算法的实现及原理讲解,个人整理的重要资料.(Radon algorithm and explain the principle, personal collation of vital information.)

ENVI二次开发常用功能代码，包括大气校正、定标、分类(监督+非监督)、裁剪、镶嵌等(ENVI secondary development commonly used function codes, including atmospheric calibration, calibration, classification (supervision+ unsupervised), cutting, mosaic, etc.)

输入一个带权无向图的顶点数、边数、各条边信息（两个顶点和权值），建立该图的邻接矩阵结构，输出该邻接矩阵。将上述无向图邻接矩阵转换为邻接表结构，输出该邻接表；根据该邻接表对无向图进行深度优先遍历序列和广度优先遍历序列，并输出遍历结果；用prim算法实现构造该带权无向图的最小生成树，并将该最小生成树的各条边信息输出。(Enter a weighted undirected graph with vertices, edges, each of the side information (two vertices and weights), the establishment of the adjacency matrix structure, the output of the adjacency matrix. The above undirected graph adjacency matrix into adjacency list structure, the output of the adjacency list according to the adjacency table undirected graph depth-first traversal sequence and breadth-first traversal sequence, and outputs through the results using prim algorithm construct the weighted undirected graph minimum spanning tree, and the minimum spanning tree information on respective sides of the output.)

多样性密度算法,EM-DD算法,最好的多示例学习算法之一,MATLAB实现.(Diverse density algorithm, EM-DD algorithm, one of the best multi-instance learning algorithm, MATLAB.)

灰度直方图规定化算法实现分析，直方图规定化，直方图均衡化，图像增强()

说明：  傅里叶谱与频域低通滤波 (a)从图书网站下载图4.41(a)并计算其(居中)傅里叶谱。(b)显示频谱。(c)在等式(4.8-7)中实现高斯低通滤波器。您必须能够指定结果2D函数的大小，M x N。此外，您必须能够指定高斯函数的中心位置。(d)从图书网站下载图4.41(a)，并对其进行低通滤波，以复制图4.48中的结果。(Fourier Spectrum and Lowpass Filtering in Frequency Domain (a) Download Fig. 4.41(a) from the book web site and compute its (centered) Fourier spectrum. (b) Display the spectrum. (c) Implement the Gaussian lowpass filter in Eq. (4.8-7). You must be able to specify the size, M x N, of the resulting 2D function. In addition, you must be able to specify the location of the center of the Gaussian function. (d) Download Fig. 4.41(a) from the book web site and lowpass filter it to duplicate the results in Fig. 4.48.)