采用canny算法对图像进行边缘检测的功能,并有相应的文档说明...

里面有几篇核fisher的文献，原理以及实例介绍得都很详细-Inside there are several nuclear fisher literature, principle and example have very detailed description

图像处理的一些基本功能源码很全 有20多个-Some basic image processing functions of the entire source code is more than 20

拉普拉斯锐化（边缘锐化）：对图像边缘进行拉普拉斯锐化-Laplacian sharpening (edge sharpening): Laplacian of the image edge sharpening

现在进行图像处理已经越来越频繁，下面是用c语言进行图像jpeg处理压缩编码源程序-Will now proceed to image processing has become increasingly frequent, Here is using c language source code to handle compressed jpeg image

一个图像显示，转换，存储的例子，基于visual c＋＋环境-An image display, conversion, storage cases, based on visual c environment

这是一个关于数字图像雾化处理的程序源代码 -This is a digital image on the atomization of source code

图像匹配批处理-Batch Image Matching

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

一些关于图像阈值确定的matlab程序，包括迭代阈值，最小类内方差，最大熵，和用matlab库函数对图像进行边缘检测。可运行-Number of image thresholding matlab identified procedures, including iterative threshold, the smallest category of variance, maximum entropy, and the use of matlab library function of the image edge detection. Run

进行很好的进行数字图像处理,是图象更清晰! -To carry out a good digital image processing, is the image more clearly!