在DICOM格式转换为BMP位图格式的C++源代码

半 透 明 的 三 维 物 体,VC++ 程 序 实 现-Translucent three-dimensional objects, VC++ Procedures realize

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-Procedure 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 threshold Image segmentation method 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

这就是传说中的智能剪刀的原代码，大家可以研究-This is the legend of the original Intelligent Scissors code, everyone can study

图像处理例程的Visual C++工程在ImageProcessing目录下(本例程仅仅考 虑真彩和灰度图像，对256色索引图像没有考虑)。-Image processing routines of the Visual C++ Works ImageProcessing directory (this routine only consider the true color and grayscale images, indexing images of 256 colors does not take).

matlab的m文件，sobel边缘检测-matlab m-file, sobel edge detection

（转）vc 的 图像分割 命令行 格式： segment 0.5 300 50 17.ppm 17out.ppm-(Transgenic) vc the command-line format for image segmentation: segment 0.5 300 50 17.ppm 17out.ppm

图像处理傻瓜库，包括一些常用的绘图操作，文件处理等。-Image Processing Library fools, including some commonly used drawing operations, such as document processing.

一个数字图像处理的演示软件，包括各种变换，是图像处理学习者的良好参考-a digital image processing software demonstration, including transform, image processing learners is a good reference

沃尔什（Walsh）变换是一种可分离变换，广泛应用于图像处理。本代码实现了图像Walsh变换，非常经典，带图片可测试.-Walsh (Walsh) is a separable transform transform, which are widely used in image processing. Implementation of the code of the image Walsh transform, very classic, with pictures can be tested.

用GAC变分水平集方法进行图像分割，克服传统方法中的断裂问题 -GAC used variational level set approach to image segmentation, the traditional method to overcome the problem of fracture