搜索资源列表
harris
- 用matlab实现Harris Corner Detector的算法，用于检测图像中的特征点。-achieved using Matlab Harris Corner Detector algorithm for detecting image of feature points.
distor
- 图像模板匹配计算，逐象素移动计算当前模板数据，提取图像特征点-image template matching, pixel-by-mobile current template data, image feature extraction point
采用邻域差值特征模板的立体匹配方法
- 算法给出一种图像匹配方法，通过计算一幅图像中间隔一定距离的两点的像素邻域差值作为特征模板，再计算另一幅图像中在同一扫描线上间隔同样距离的像素邻域的差值，将它与特征模板的偏差作为匹配标准，偏差最小的点就认为是匹配点。
Harris_conner_detection
- Harris_conner_detection，用MATLAB实现Harris角点检测算子的源码，用于特征点提取及图像配准等。-Harris_conner_detection, use MATLAB to achieve Harris corner detection operator of the source code for the feature point extraction and image registration and so on.
Moravec
- 利用moravec兴趣算子提取图像的点特征，matlab编写-Moravec interest operator to use the image point feature extraction, matlab prepared
interest-points
- 基于兴趣点颜色及纹理特征的图像检索算法，通过同类比较，平均检索准确率提高11个百分点。-Based on the interest points and texture features of color image retrieval algorithm, through a similar comparison, the average retrieval accuracy rate of 11 percent improve.
imgkmeans
- 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color imag
sift
- 用Matlab实现灰度图像SIFT（尺度不变特征变换）特征点的提取-Grayscale images with Matlab SIFT (Scale Invariant Feature Transform) feature point extraction
zhiyudian-tuxiangpeizhu
- 基于点的matlab图像配准.提出一种基于小波系数的特征索引算法，实现了图像特征点对的快速搜索和两幅图像之间的匹配-Based on the point of matlab Image Registration. Presents a feature based on wavelet coefficients indexing algorithm to realize the image feature points on the fast search and matching between
skeleton
- 用形态学中骨骼化方法实现了图像细化，为后续工作如特征点提取提供了良好的素材-Method with skeletal morphology achieved thinning, for the follow-up, such as feature extraction provides a good material
pointExtraction
- 文件中的是图像配准过程中常用的几种提取特征点的方法-Several common methods of extracting keypoits in the process of image registration
FPS_in_image
- 检测图像的特征点，并检测两个图像之间的匹配的特征点-Image feature point detection and matching between two images detected feature points
MosaicKit
- 一种图像拼接技术，是一个内嵌拼接。基于特征点的图像内嵌技术，里面有测试图像。-An image display technology, is an inline splice. Image based on feature points embedded technology, there are test images. Embedded image
图像仿射变换的源代码，图像拼接代码
- 该代码实现了sift算法的后续过程，通过ransac实现特征点的精确提纯，并得到仿射变换矩阵，实现图像的仿射变换和融合，效果很好
harris
- 在matlab环境下，能够有效实现图像特征点的检测的功能-In the matlab environment, can effectively realize the image feature detection feature points
tiquyupipei
- 利用Harris算子，基于matlab对图像特征点进行提取与匹配-Using Harris operator, image feature point extraction and matching based on matlab
KeyPointsHarris
- 利用Harris算法实现图像特征点提取,matlab实现，完整代码，真实可用-ge key points picture by harris algorithm
image-stitch
- 使用Harris角点检测方法进行图像特征点提取,NCC描述的方法进行粗匹配,再使用RANSAC算法进行精匹配。-Using Harris corner detection method for image feature point extraction, NCC descr iption of the method of rough matching, and then use the RANSAC algorithm for fine matching.
pj
- 图像配准的简单运行，有坐标轴，获取特征点(image registration of simple operation, coordinate axis, access to feature points)
matchPointFea
- 图像匹配，用于寻找特征点然后匹配出图像，(detecting affine invariant features)