HW3

金字塔模板匹配，一个很有商业价值的软件【我背着导师上传给大家的，希望对整个中国的相关领域开发者有帮助】(Pyramid template matching, a great commercial value of software 【I tutor upload their backs to you, and I hope the related areas of China as a whole help developers】)

最新版完整模拟QQ截屏的VB源代码，支持截图编辑（可以再截图中画矩形、椎园、文本、箭头）；带撤销，重做功能，可以说一点都不比QQ截屏逊色！(The latest version integrity imitates a QQ piece the VB source for hold a code and support cuts diagram editor (can cut again in the diagram draw rectangle, Zhui park, text originally, arrowhead)Take to cancel, do over function, can say at 1:00 an all unlike QQ piece to hold inferior to!)

说明：  物体运动的跟踪，比如行人和车辆等物体的跟踪(Tracking the motion of an object, such as a pedestrian or vehicle)

彩色图像的梯度边缘提取算法matlab程序(matlab edge detection)

说明：  张正相机标定，用c++编程，亲证有用，里面有实际的图片，大家可以直接俄使用(Zhang zheng method it is very useful for camera detecting and it contains many pictures i hope you will get help from it)

说明：  matlab 4个图像特征函数代码，包括tamura texture、灰度差分统计特征函数、灰度共生矩阵特征函数、灰度梯度共生矩阵特征函数(Matlab four image feature function codes, including Tamura texture, gray difference statistical feature function, gray co-occurrence matrix feature function, gray gradient co-occurrence matrix feature function)

编制一个通用的边缘提取函数。通过输入不同的参数，能够实现Sobel算子、Prewitt算子、Roberts算子、Marr算子和Canny边缘检测。 实验图像任选 (Preparation of a common edge extraction function. By entering different parameters to achieve the Sobel operator, Prewitt operator, Roberts, operator, operator of Marr and Canny edge detection. Experimental image optional)

高光谱图像的解译是遥感图像应用的一个重要环节。基于线性光谱混合模型的光谱解译技术正在越来越广泛地应用。仿真结果表明，当部分端元参与解译和分区域进行解译时，高光谱图像的解译效果会得到较显著改善。(The unmixing of Hyperspectral imagery is a critical link of the application of remote sensing imagery. Based on linear spectral mixture model, spectral unmixing technology now is being increasingly used. On the basis of it,studying unmixing ways engaged by endmembers in different conditions, comparing and discussing a more effective expression mode of endmembers.)

两张图片合成实例，可类举

可以实现平面图像到球面坐标的映射变换，效果较好，附原始图片。(Plane image mapping transformation to spherical coordinates better with the original picture.)