-
ColorHistogram
图像检索——提取颜色特征：HSV空间颜色直方图(将RGB空间转化为HSV空间并进行非等间隔量化，将三个颜色分量表示成一维矢量，再计算其直方图作为颜色特征。(Image Retrieval- extract color features: HSV space color histogram (RGB space into the HSV space and the non-interval to quantify the three color components expressed as a one-dimensional vector, then calculate the color histogram as a feature.)
- 2011-07-06 21:25:29下载
- 积分：1
-
wylovezbsf
一个用MFC实现的图象缩放程序,也有测试图片!(MFC with a picture zoom procedures, tests have pictures!)
- 2007-01-10 20:47:09下载
- 积分：1
-
region_growing
自动种子区域生长代码，用MATLAB运行，不必选择种子点 可以自动选择阈值 实现图像分割！(The automatic seed region growing code, run, do not have to select seed point can automatically select the threshold image segmentation using MATLAB)
- 2013-04-16 16:47:40下载
- 积分：1
-
NSST_PAPCNN_Fusion
通过多尺度分解，实现医学图像的图像融合，达到更好的效果(Through multi-scale decomposition, medical image fusion can be achieved to achieve better results.)
- 2021-04-08 11:59:00下载
- 积分：1
-
high-mark
基于高阶互信息的医学图像配准算法
基于高阶互信息的医学图像配准算法代码(High-level mutual information based medical image registration algorithm based on mutual information of high-end medical image registration algorithm code)
- 2014-02-18 11:01:24下载
- 积分：1
-
NLmeansfilter_pca
非局部图像去噪算法的实现,使用pca提高运算速度(the implementation of nlmeans using pca to reduce computation)
- 2020-09-23 09:07:52下载
- 积分：1
-
2009301610040-gauss
将空间点的大地坐标投影到椭球面上，进行分带，计算坐标，最后输出高斯投影结果(gauss projection)
- 2011-12-31 06:17:46下载
- 积分：1
-
LevelSet
水平集方法的图像边缘检测算法，包括参考论文和matlab的demo及其测试图像(Level set method of image edge detection algorithm, including the reference papers and matlab the demo and test images)
- 2008-03-12 22:29:01下载
- 积分：1
-
FAST-ICA
1、对观测数据进行中心化，；
2、使它的均值为0，对数据进行白化—>Z；
3、选择需要估计的分量的个数m，设置迭代次数p<-1
4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）；
5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的）
6、用对称正交法处理下W
7、归一化W(:,p)=W(:,p)/norm(W(:,p))
8、若W不收敛，返回第5步
9、令p=p+1，若p小于等于m,返回第4步
剩下的应该都能看懂了
基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)
- 2013-06-27 15:39:00下载
- 积分：1
-
finger
说明： 掌纹roi提取 掌纹图像处理 图像分割(Extraction of palmprint roi)
- 2011-03-14 19:57:17下载
- 积分：1
