-
lda_hash
以SIFT特征为目标输入,LDAHash方法进行降维实现目标识别(SIFT features input LDAHash method to reduce the dimensionality of the target recognition)
- 2021-01-01 18:28:58下载
- 积分:1
-
demo_mtjsrc_OxfordFlower_17
此程序为袁晓彤CVPR论文“基于多任务联合稀疏表示的的视觉分类”的主代码部分(The program for Yuan Xiaotong CVPR paper " visual classification with Muti-task joint sparse representation" main code of the parts)
- 2013-09-16 14:06:25下载
- 积分:1
-
imagesegmentation
matlab图像分割实例,基于Lab空间的色彩分,割调用库函数实现,带注释,简单易懂;(matlab example of image segmentation, based on Lab color space points, call the library functions achieve cutting, with comments, easy to understand )
- 2010-06-23 17:19:32下载
- 积分:1
-
Two_Dimensional_Spectral_Estimation
图像处理中比较有用的二维图像光谱分析,Matlab源代码(Image processing more useful two-dimensional image spectra, Matlab source code)
- 2008-04-28 12:40:00下载
- 积分:1
-
灰度图像二维otsu自动阈值分割
一种基于otsu的二维灰度图像分割算法,包括注释和源代码,适合初学者使用。(A two-dimensional gray image segmentation algorithm based on Otsu, including annotation and source code, which is suitable for beginners.)
- 2020-07-18 11:28:47下载
- 积分:1
-
kl
说明: kl变换. KL变换的流程如下:
(1)获取多幅图像的统计特性:图像之间的协方差
(2)获取协方差的特征值和特征向量,从而获取正交核:特征矩阵
(3)图像对应象素点对各个特征向量进行投影运算。(kl transformation)
- 2014-08-21 12:48:10下载
- 积分:1
-
OMP
压缩感知重构算法,正交匹配投影算法,一维信号重建(Compressed sensing reconstruction algorithm, orthogonal matching projection algorithm, one-dimensional signal reconstruction)
- 2012-12-05 22:16:33下载
- 积分:1
-
fractal-box
基于分形维数的图像分割,讶究 Blog欢迎您~~(www.iobeta.com iobeta.com
www.vcbeta.net vcbeta.net)
- 2010-06-07 09:26:00下载
- 积分:1
-
Face Detection using Viola-Jones Algorithm
Viola-Jones 算法的人脸检测程序,附带检测图片(for detection using Viola-Jones Algorithm. To save Cropped Picture you need to change the folder location.)
- 2017-11-15 21:03:39下载
- 积分:1
-
Otsu2d_Xiefen
一种二维Otsu快速算法的Matlab实现,该算法的原文参见《二维直方图区域斜分阈值分割及快速递推算法》,该文已附在内。(A two-dimensional Otsu fast algorithm Matlab realize that the original algorithm see " Two-dimensional histogram oblique segmentation area and fast recursive algorithm" , the paper has been attached into account.)
- 2020-09-12 17:57:59下载
- 积分:1