CS

说明：  sift特征提取，ransac剔除匹配点进行优化，实现图像拼接。(SIFT feature extraction, RANSAC eliminate matching points for optimization, to achieve image mosaic.)

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)

说明：  基于Matlab的图象处理算法，共有6种处理算法的程序代码，对学习很有帮助，呵呵。(based on Matlab image processing algorithm, a total of six types of processing algorithm code, to learn helpful, huh.)

说明：  matlab实现均值滤波，中值滤波，同时操作(Matlab to achieve mean filtering, median filtering)

说明：  非常经典的基于特征的影像匹配，亲测好用，推荐下载试试，基础但好用(Feature-based image matching)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)

基于Contourlet变换的多波段SAR图像融合 郑永安 宋建社 周文明 张杰 计算机工程 2007-09-20 期刊(multiband SAR image fusion based on Contourlet transform Zheng Yongan Song Jianshe Zhou Wenming Zhang jie computer engineering the 2007-09-20 journals)

说明：  实现了图像处理中常用的对比度计算公式，和一个图像变换的画布扩大，只需要稍微修改即可用。(Image processing to achieve a common formula for calculating the contrast ratio, and an image transformation of the canvas to expand, require only a slight modification can be used.)

说明：  以中心图像为模板，将其他八张图映射到模板中，然后粘贴到对应位置完成拼接(Take the center image as the template, map the other eight images to the template, and paste them to the corresponding position to complete the splicing)

点云插值，离散点云插值，孔洞填充，使用python语言(Point cloud interpolation, discrete point cloud interpolation, hole filling, using Python language)