-
diskreet.m
DISKREET: FOR CHANGING DISKREET LEVEL OF AN IMAGE
- 2013-10-31 01:52:21下载
- 积分:1
-
MatchLSM
1.打开左右两张影像2.Harris算法提取同名点3.显示提取同名点(若要进行下一步匹配则不建议显示,这里只是用于查看是否提取出)4.相关系数匹配(只在找出的同名点内匹配)5.LSM最小二乘匹配(先进行粗匹配,再精匹配)(1 Open the left and right images 2.Harris algorithm to extract two tie points 3 shows the extraction of corresponding points (not recommended to proceed to the next match show, here is used to see if extracted) 4. Correlation coefficient matching (just looking match within a point of the same name) 5.LSM least squares matching (rough first match, then fine match))
- 2013-08-28 15:45:57下载
- 积分:1
-
daima
对矩形件的排样过程进行编码实现,通过visual c++(layout problem)
- 2015-01-15 01:06:00下载
- 积分:1
-
MatlabCode
压缩感知Matlab代码实现,图像压缩采样,OMP重构(Compressed sensing code, image compression sampling, OMP reconstruction)
- 2020-09-24 19:57:47下载
- 积分:1
-
ImageRetrieval
毕业设计,基于内容的图像检索,支持的检索特征包括 sift,颜色直方图,灰度矩阵,HU不变矩,边缘方向直方图,检索方法使用K-means和K-D树两种,需要OPENCV支持,运行时请先选定一个文件夹来生成特征库,特征库用access数据库保存,只支持JPG文件(Graduate design, content-based image retrieval, search features, including support sift, color histogram, gray matrix, HU moment invariants, edge direction histogram, retrieval method using the K-means and KD trees are two kinds of needs OPENCV support Please select a runtime folder to generate the feature library, feature library with access database save, only supports JPG files)
- 2010-09-14 17:31:44下载
- 积分:1
-
evaluation function
SMD,Brenner,Robert,EOG,Sobel算子图像清晰度计算(SMD,Brenner,Robert,EOG,Sobel,evaluation function)
- 2019-03-06 21:57:45下载
- 积分:1
-
BPF_1_3
用粒子滤波器实现的多运动员跟踪,包含了data文件(Using Particle Filters athletes realize the multi-tracking, contains a data file)
- 2008-03-19 12:16:34下载
- 积分:1
-
K-SVD字典训练算法代码
说明: k-svd算法用于稀疏表示的图像去噪,字典学习算法,去噪效果良好(k-svd algorithm for image denoising of sparse representation)
- 2021-04-06 09:46:53下载
- 积分:1
-
JPEG2000-Codes---All-in-one-Folder
This is the basic code implementing jpeg2000 in matlab
- 2012-01-06 15:29:44下载
- 积分:1
-
hog
能够提取出图像I的HOG特征,返回其幅值,角度和在各个角度上的幅值。
是进行其他针对图像的HOG特征提取的前一步。(I can extract images of HOG features, return to their amplitude, angle and perspective in all of the amplitude. Is the other for image feature extraction HOG step forward.)
- 2008-04-29 09:41:09下载
- 积分:1