创建指定的图像对象的直方图数据。如果未给定坐标，则指向整个图像。...

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

数字图像处理程序源代码，功能丰富，包括图像增强，图像边缘检测与分析，几何变换，压缩编码，图像复原等-Digital image processing source code, feature-rich, including image enhancement, image edge detection and analysis, geometric transformations, compression coding, image restoration, etc.

图像二值化算法：Otsu算法，Kittler minimum error thresholding算法，Niblack二值化算法。都是很经典的二值化算法，可用于对图像进行二值化，我自己编写的并经过测试正确。附件中有算法使用说明。-Image binarization algorithm: Otsu method, Kittler minimum error thresholding method, and Niblack method. All these methods are classical binarization methods.

对图象进行均值滤波的程序,选取一幅图象,加入噪声,对图象均值滤波,输出图象.-Means of image filtering process, select an image, adding noise, the mean of image filtering, the output image.

这是关于不依赖MATLAB环境的

运用MAD相似性度量准则实现模板匹配程序-use MAD similarity measurement criteria to achieve template matching procedures

图像配准程序,含有图像配准的这种算法以及检验程序-Image registration procedures, containing this image registration algorithm and testing procedures

基于图像的灰度共生矩阵方法的图像纹理分割-Gray-level image-based methods of co-occurrence matrix image texture segmentation

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.

学习opencv+directshow的文档-opencv+directshow