这是一个在源代码中识别字符的图像文件。使用

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

一个基于VC++的人脸检测系统,可检测并处理人脸区域以及眼睛,嘴部区域-Based on VC++ Face Detection system can detect and deal with people face region, as well as eyes, mouth region

图像分割，实现最大实现最大方差法计算分割门限-image segmentation, the highest maximum variance method segmentation Threshold

采用各向异性方法 填补一个缺损的轮廓，从而可以得到一个光滑完整的轮廓。- Completed contours correspond to ridges of an extension (ext) of the characteristic function of the uncompleted curve. Anisotropic extension is performed on the characteristic function fbound of an image set given by the binary map boundary to the whole image domain. Extension is initially driven by xi=(EigVect{1}, EigVect{2}) (which should match with the contour tangent direction) computed as the direction of maximum coherence of the distance map to the contour to close. It is updated every N iterations with DCV over the distance map to the ridges/thinning of the evolved image. Two different stop criteria are supported: Number of Connected Components ( numcomp ). Contour Completion. Stop when the extended contour (curve of level 1) has exactly Ncomp connected components. Difference between two consecutive iterations ( tol ) Speed Stabilizes ( speed_stab ). [extended]=ContourComple

计算机图形学几何工具，是计算机图形学领域的非常不错的教材，欢迎使用-Computer graphics geometric tools, the field of computer graphics is very good teaching are welcome to use

Visual C++ 数字图像处理典型算法及实现（1）-Visual C++ digital image processing algorithms and implementation of a typical (1)

bmp的打开及简单处理以及保存。 bmp的打开及简单处理以及保存。-bmp opened and the simple handling and preservation. Bmp opened and the simple handlin g and preservation.

虹膜提取matlab程序,有说明，自己可以修改下-Matlab extract iris procedures that can modify their own under the

基于数学形态学的模糊边缘检测算法，及相关的开闭运算等-based on mathematical morphology of the fuzzy edge detection algorithms, and related opening and closing, etc.

针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 -Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic