源码功能包括：细胞边缘检测，癌细胞形态学分析，癌细胞颜色分析

大津自适应阈值分割算法，其中只有自适应阈值的计算部分-Otsu adaptive threshold segmentation algorithm, one of only adaptive part of the calculation of threshold

用Matlab实现的多种基于阈值的图像分割方法，含有大津法，最大熵，聚类等方法-Using Matlab to achieve a variety of threshold-based image segmentation method, which contains Otsu method, maximum entropy, clustering and other methods

一个完整的Visual C++程序,包含了图像的RGB调整,傅立叶变换,傅立叶反变换,对比度调整,颜色转换 梯度算子检测,sobel算子检测 均值滤波和中值滤波,程序已经通过调试.-a complete Visual C program includes a RGB image adjustment, Fourier transform, Fourier transform, contrast adjustment, color conversion operator gradient detection, segmentation operator for the mean and median filtering filtering, testing procedures have been adopted.

一个比较完整的图像DSP处理程序，主要进行较高级的图像处理工作。-a relatively complete DSP image processing, mainly for higher image processing work.

C++编写的医学用的细胞识别统计系统,可以腐蚀膨胀,平滑,最后统计出细胞个数.

一套图像处理程序(vc++)，支持JPEG、GIF

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

基于图像直方图均衡化的公式来编程。像素一共分为256个灰度阶，每个灰度阶用数组的一个相应nk[？]来储存它的个数，然后计算tk[？]。-Based on image histogram equalization formula programming. Pixel is divided into a total of 256 gray-scale bands, each of the gray band with a corresponding array nk [? ] To store the number of it, and then calculating tk [? ].

opencv的文档-opencv documentation

轮廓提取,本设计通过边缘算法,达到高效低损失的计算效果,有效的消除轮廓边缘的噪音影响.-Contour extraction, through the edge of the design algorithm, to achieve high efficiency and low loss calculation results, effectively eliminate the impact of the noise contour edge.