数字图像处理 利用c++ 彩色图到灰度图的转换的源程序

用VB做的一个小程序，可以抓取当前屏幕。-VB do a small program will be able to capture the current screen.

图像分割的经典课本，对与研究图像处理方面的同仁有很大帮助-Image segmentation of the classic textbooks, and research on image processing aspects of great help to have Tongren

机器视觉的开发包，包括摄像机的标定，图像分割，等。-Machine vision development kit, including camera calibration, image segmentation, and so on.

Hough变换快速实现多圆检测的算法。没有使用循环，但内存需求大。-Hough transform and more quickly realize the algorithm for circle detection. Do not use the cycle, but the memory demand.

提出确定灰度图像二值化最佳灰度阈值的两种方法,即“双峰法”和“信噪比统计法”,并论证了这两种方法在微小零件尺寸及形位误差的检测中的实用性和局限性。-gray images made to determine the value of the two best-threshold value of the two methods "bimodal" and "signal-to-noise ratio statistics" and demonstration of the two approaches in micro-size components and configuration error detection of practicality and limitations.

vc++用于图像处理与开发，比较有用，只是pdg格式的，需要超星阅览器-vc++ for image processing and development, more useful, but PDG format requires Chaoxing reader

1.达芬奇图像处理平台总体开发情况 2.non-xdm算法-1. Leonardo da Vinci image processing platform for the overall development of algorithms 2.non-xdm algorithms

几个经典的图像拼接，图像融合算法-Several classical image mosaic, image fusion algorithm

sift图像匹配算法实现 两幅图像合并成一幅图像-image matching algorithm sift two images into an image

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