阈值分割迭代法处理图像

以图像拼接目标为应用背景，对图像处理配准和融合的基本原理及相关算法进行研究；利用matlab对相关配准和融合算法进行实现并优化;并将配准和融合算法应用于图像拼接中（给定某个真实场景的一组局部图像，然后对这一组图像进行拼接，最终形成一个图像拼接系统）。要求配准和融合能单独进行工作，形成独立的程序(The basic principles and algorithms of image registration and fusion are studied with the image stitching target as the application background. MATLAB is used to implement and optimize the related registration and fusion algorithms, and the registration and fusion algorithms are applied to the image mosaics (given a set of local images of a real scene, and then to this group) The image is stitching to form an image mosaic system. Registration and fusion are required to work independently and form separate programs.)

几种图像增强的方法，有双直方图均衡，函数均衡等几种方法(several image enhancement methods, a double histogram equalization, function balance methods)

采用多成分分析算法进行图像分解，并对该算法进行评价(MCA picture dissolution)

说明：  实现基于卡尔曼滤波器的多目标跟踪，可进行相关了解与研究(object tracking based on kalman)

DPCM 图像的线性预测编码 有完整的运行界面使用简单(DPCM image of linear predictive coding to run a complete easy to use interface)

实现图像的平移 可实现左移 右移 并根据需要改变参数(Image translation)

8*8矩阵dct变换以及量化 反量化和反dct变换(8* 8 transform and quantization matrix dct quantization and anti-anti-dct transform)

matlab实现的直线检测方法，主要为hough变换，包括图片及实验结果(Matlab implementation of the line detection method, mainly for the Hough transform, including pictures and experimental results)

基于双目的深度图获取,根据图像合成深度图左右视点( depth map based on binocular)

《VC++数字图像识别技术典型案例》第九章光学字符识别技术，包括预处理、边缘跟踪和特征提取算法("VC Digital Image Recognition Technology typical case," the ninth chapter of optical character recognition technologies, including pretreatment, Edge tracking and feature extraction algorithm)