edge_new

说明：  对图像进行伽马校正，可以有效提升图像 亮度和对比度，低于低照度图像现在小于1的参数，对于高亮度的图像选择大于1的参数可以有效调节图像亮度。(Gamma correction can effectively improve the brightness and contrast of the image. The parameters lower than the low illumination image are less than 1. For the high brightness image, the selection of parameters greater than 1 can effectively adjust the brightness of the image.)

影像仿射变换特征提取，结合 sift 等局部特征可以处理较大视角变化下的图像匹配。(This is an implementation of Hessian-Affine detector. )

该源程序实现了SAR图像变化检测的功能，方法是基于修正马尔科夫随机场的模糊C均值实现SAR图像的变化检测。(The source program realizes the function of SAR image change detection. The method is based on modified Markov random field fuzzy C-means to realize SAR image change detection.)

说明：  此源码可对图像进行Ncut分割，并且集成了特征提取和SVM分类的功能。(This source can be Ncut image segmentation, and integrates the feature extraction and SVM classification function.)

C# 鼠标拖拽图像 实例源码

matlab编写的对二值图像的数字水印添加与提取程序。压缩包中有示例图片。可以添加水印，结果肉眼不易分辨出变化，不影响使用。可加入信息长度达100个字节。提取时可验证是否被修改过，如未修改，可提取隐藏信息。当有修改发生时，可以定位修改的位置，并在图上标出。标识面积占修改面积的75％，一般修改都能标出(matlab prepared binary image of the digital watermark added and extraction procedures. Compression package has sample images. Can add watermarks, the results of the changes are not easily distinguishable from the naked eye, does not affect use. Can be added to the information length of 100 bytes. Verifiable extraction has been modified, if modified, can extract hidden information. When a modification occurs, you can modify the location of positioning and marked maps. Logo area accounted for 75 to amend the area generally can be identified modifications)

Object Detection Combining Recognition and Segmentation, Eighth Asian Conference on Computer Vision (ACCV), 2007 源代码(Object Detection Combining Recognition and Segmentation, Eighth Asian Conference on Computer Vision (ACCV), 2007 source code)

这是网上较难得到的一份基于主曲线轮廓提取的算法和论文，大家可以试一下！(This is a package of the paper and source of principal curve! It deserves you to have a try!)

基于VC++的BMP图像——24位转8位 (Turn based BMP images in VC++- 24 8)

说明：  GUI界面实现打开图像，基于阈值分割，基于边缘分割，基于形态学分割，基于种子点分割和基于主动轮廓模型分割(The GUI interface can open the image, based on threshold segmentation, edge segmentation, morphological segmentation, seed point segmentation and active contour model segmentation)