用风险投资+ +来显示特别好的效果

本程序将SIFT与边缘结合起来用来做图像配准 先用SIFT检测关键点 用CANNY算子进行边缘检测 进而优化选取最佳匹配点 进行向量匹配 图像配准-This procedure will be combined with SIFT and the edge used to do image registration using SIFT key-point detection using Canny edge detection operator to select the best match to optimize vector match point image registration

指纹识别，不错的 是matlab原程序，大家可以事实啊-fingerprint identification, Matlab is a good program, we can fact ah

在对图象进行处理时，该程序可得到该数组的边缘-In the treatment of image, the program can be the edge of the array

多种图像边缘检测与分割处理 是M文件 程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-A variety of image edge detection and segmentation is the deal with M files code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line thresholding image segmentation P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: Morphological examples- from PCB image delete all current lines, retaining only the target chip

本程序通过VC＋＋实现了BMP图像的梯度锐化-This procedure, through VC to achieve a gradient BMP image sharpening

通过相机标定工具箱得到相机的内参等信息对多幅图像进行三维重建。再贴上纹理。-Camera Calibration Toolbox has been through the camera" s internal information on the number of three-dimensional image reconstruction. Then paste texture.

相当的经典啊 是基于matlab的 大家做图像匹配的都可以用的到,做三维重建方面的。-Rather is based on the classic ah matlab we do the image matching can be used for that, so three-dimensional reconstruction.

该代码在VC++6。0环境下实现Walsh变换，希望有些人能用得着-The code in VC++ 6. 0 environment realize Walsh transform, one can hope that some useful

这是一个用来显示动画的小精灵,这个具有周星驰图像的小精灵,有很多的小功能.-This is a small to display the animation wizard, this with Stephen Chow elf image, there are many small features.

This Matlab code implements an edge based geometric active contour model without reinitialization. MATLAB Release: R13SP1 This Matlab code implements the level set method in Chunming Li et al s paper "Level Set Evolution without Re-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005. EVOLUTION.m: core function that performs level set evolution. Demo1.m: a demo for a real cell images Demo2.m: a demo for a synthetic noisy image Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user