M_map1.4j工具箱官方中文版使用说明及示例

该程序实现了harris角点的提取以及其在两幅影像上的配准结果，希望对大家有用(The program implements the harris corner extraction as well as their two images on the registration results, we hope to be useful)

说明：  自由曲面光学透镜的图像变换面形测量系统与精度建模(Free-form optical lens image transformation shape measurement system with precision modeling)

图像中数字水印matlab编码，水印的嵌入提取及嵌入强度(Digital watermark image matlab coding, the embedded watermark extraction and embedding strength)

详细说明：几个关于图像灰度变换的程序。包括图像反色，图像的对数灰度变换，指数灰度变换，线性灰度变换，灰度切割，图像平均降噪。 (Several of the image gray-scale transformation process. Including anti-color image, the image of the number of gray level transformation, index gray-scale transformation, linear gray level transformation, gray cut, the average image noise.)

Understand state-of-the-art techniques for photorealistic rendering 􀂃 Become conversant with cutting edge graphics literature 􀂃 Hands-on exploration of one (or more) of the techniques encountered (a project). 􀂃 Learning and using raytracing to generate amazing pictures. 􀂃 Possibly extend one of the studied techniques, implement new ones

说明：  实现指纹识别中的指纹图像预处理中的方向场，细化等，含有一个GUI界面(pre-process of figure print image)

RMSHE算法（recursive mean-separate histogram equalization）。基本原理是将图像根据平均灰度进行分割，各部分分别进行直方图均衡。文件中包含RMSHE的matlab源代码，论文，以及输入图像(RMSHE algorithm (recursive mean-separate histogram equalization). The basic principle is that the image based on the average gray-scale is divided, each part respectively histogram equalization. File contains RMSHE matlab source code, papers, as well as the input image)

Harris角点检测程序（内附示例图像），利用鼠标在图像上选择提取交点的区域，进行角点提取。程序语言简洁，利于初学者学习。(Harris corner detection procedures (with sample images), using the mouse in the image on the choice of extraction point of intersection of the region, for Corner Detection. Programming language is simple and conducive to learning for beginners.)

使用VC++ 6.0 和 OpenCv实现粒子滤波目标跟踪算法，主要功能在MFC对话框内实现。(particle filter object tracking)

说明：  对图像提取同名点，并根据同名点建立delaunay三角网，后续可进行图像配准，或根据三角网进行控制点筛选(The same name points are extracted from the image, and the Delaunay triangulation network is established according to the same name points. The image registration can be carried out later, or the control points can be selected according to the triangulation network)