c++图行图像处理，图像的直方图均衡化。

实现march_cube的源程序，在流体模拟，医学图像处理领域有很重要的应用-March_cube realize the source, in fluid simulation, medical image processing has very important field of application

计算几何-半平面交算法,计算几何-半平面交算法-Computational geometry- half-plane algorithm, computational geometry- half-plane algorithm

迭代算法求自适应全局阈值，通过这种算法得出的阈值能够很好的把目标区域和背景区域区分出来。-Iterative algorithm for adaptive global threshold, this algorithm can be derived from the threshold to a very good target area and background of the regional distinction.

用vc编写的一个图像处理方面的原程序 很好用-vc used to prepare an image processing of the original program with good

该源代码能够实现对于灰度图像的边缘的检测与提取等功能-The source code can be achieved for the gray-scale image of the edge detection and extraction features

彩色图像处理：1、底片效果，2、浮雕和雕刻效果，3、色彩变换：IHS变换以及图像灰度化，4、彩色图像二值化，5、灰度图像形态学处理：开闭运算，膨胀、腐蚀，6、正交变换：傅立叶变换及傅立叶反变换-Color Image Processing: 1, negative effect, 2, the effect of relief and sculpture, 3, color transform: IHS transform and the image of, 4, color images of two values, 5, gray-scale morphological image processing: open and close operations expansion, corrosion, 6, orthogonal transformation: Fourier Transform and Fourier Transform

本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment result

利用最大类间方差法(OTSU)求出对图像进行二值化处理的最佳阈值，从而进行图像二值化处理。 -Using the maximum between-class variance method (OTSU) obtained image binarization best treatment threshold, and thus image binarization treatment.

用Delphi制做，实现在打开，二值化，对图像的腐蚀，膨胀，轮廓提取等效果，使结构开，结构闭，细化，恢复原图等功能，以及从各个角度的投影等-system with Delphi done to achieve the open, two values, the image of corrosion, swelling, contour extraction effect, open structure, structural closure details, such as the maximum functional recovery, and from all angles as the projector

gold 是用Matlab编写的代码 很好用啊 大家顶-gold 是用Matlab编写的代码 很好用啊 大家顶