这是K均值聚类算法 对图像颜色进行聚类 然后对图像分割源代码...

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

基于活动轮廓模型的图像分割算法，具体算法细节，可以见压缩包中的论文-Based on Active Contour Model of image segmentation algorithm, the details of the specific algorithm, you can see the archive of papers

用于图像的浏览功能,基于VC+=开发的一个小东西啊.-a small software which based on the vc++ developping environment.

实现了序列图像的柱面全景图拼接，采用的块匹配法，顺序进行块匹配功能，找到最佳匹配位置，进行线性融合法进行拼接。-Achieved a series of cylindrical panoramic image stitching, using a block matching method, in order to block-matching function to find the best match position, a linear fusion splicing method.

转换图象为二值图象后，进行识别与标记的matlab源码。可以计算目标物个数，形心等。-image conversion value for the two images, identification and marking of Matlab source. Can be calculated from the number of goals, such as heart-shaped.

边缘检测C程序，其中包括了各种边缘检测算子-Edge Detection of C procedures, including a variety of edge detection operator

这是个图像处理小程序,源码附上,以供大家参考-This is a small image processing procedures, the source code is attached for your reference

Hough变换的matlab代码，可以参考学习，希望对需要的朋友有所帮助-Hough Transform Matlab code, we can make reference to learning, and I hope to a friend in need of some help

第三章 MATLAB 图形对象 3.1 图形对象 3.1.1 Root 对象 3.1.2 Figure 对象 3.1.3 Uicontrol 对象 3.1.4 Uimenu 对象 3.1.5 Axes 对象 3.1.6 Image 对象 3.1.7 Line 对象 3.1.8 Patch 对象 3.1.9 Rectangle 对象 3.1.10 Surface 对象 3.1.11 Light 对象 3.1.12 Text 对象 -Chapter III of MATLAB graphic objects 3.1 graphic object 3.1.1 Root object 3.1.2 Figure object 3.1.3 Uicontrol object 3.1.4 Uimenu object 3.1.5 Axes Object 3.1.6 Image Object 3.1.7 Line object 3.1.8 Patch Object 3.1. 9 Rectangle object 3.1.10 Surface Object 3.1.11 Light Object 3.1.12 Text Object

图象的腐蚀，和膨胀，和细化算法代码！ 比较有参考价值-image corrosion, and the swelling and thinning algorithm code! More reference value