SaliencyToolbox

最简单的进行两图像的加减和异或，同或，运算。(The simplest operation is to add and subtract two images, and to add and subtract two images.)

VC6.0环境下使用可视化工具VTK 实现三维重建方法是光线投影法，实现效果较好(3D-reconstruction)

说明：  “求RGB转HSI空间小程序.m”为主函数调用rgb2hsi.m，由于matlab没有自带这个函数，所以自编了一个，用于进行阴影去除。( Seeking RGB to HSI space program. M the main function call rgb2hsi.m, as a result of matlab does not own this function, so a self-compiled, used for shadow removal.)

利用radon变换进行图像倾斜矫正的算法代码实现(Using radon transform algorithm for image tilt correction code)

Image enhancement is a processing on an image in order to make it more appropriate for certain applications. It is used to improve the visual effects and the clarity of image or to make the original image more conducive for computer to process. Contrast enhancement changing the pixels intensity of the input image to utilize maximum possible bins. We need to study and review the different image contrast enhancement techniques because contrast

任务：用BFS或是DFS对图进行搜索，实现任何拓扑不连通的块的计算，算法要求写在CBFSSearch类中 工程名：Project_BFS 要求：对于生成的任意拓扑，求出其分枝个数，并输出每个分枝的节点 (Task: Using BFS or DFS for searching the graph to achieve any topology unconnected blocks calculation algorithm requires written in CBFSSearch class project name: Project_BFS Requirements: for generating arbitrary topology, find the number of its branches, and output node of each branch)

PLSA源码，并附有PLSA理论在图像自动标注中的应用，有几篇具有代表性的论文，论文中讨论了PLSA的改进并应用在图像处理中。(PLSA source code, with PLSA theory in automatic image annotation application, some of the representative papers, thesis discusses the PLSA improvement and application in image processing.)

C#图片浏览(支持鼠标拖动与滚轮缩放)

Pixel design for H-noise cal; imageJ platform ; test done

几个大牛对集成了国内外特征提取最前沿的算法，特征提取，DOG,HARRIS,HARRIS-LAPLACE,HARRIS-AFFINE,MSER.描述符，SIFT,AFFINE-SIFT,GLOH.经测试，速度快，描述符准确。(Integration of feature extraction algorithms from several expert of domestic and international, feature extraction： DOG, HARRIS, HARRIS-LAPLACE, HARRIS-AFFINE, MSER； Descriptors： SIFT, AFFINE-SIFT, GLOH. The test reveal the speed and accurate descriptor.)