-
Segmentation-assess-Benchmark
伯克利图像小组提出来的图像分割评价指标：边界误差。(Evaluation of image segmentation. Image: Berkeley group boundary error.)
- 2015-04-18 15:22:48下载
- 积分：1
-
hidemessage
数字隐写，将txt文档藏进图片中，并能够从图片中解出隐藏的文本。(Digital steganography )
- 2012-03-19 21:28:01下载
- 积分：1
-
虹膜识别算法源代码code
说明： 实现虹膜的预处理、识别等功能，使用matlab实现(iris source code ,using matlab)
- 2020-02-13 10:24:56下载
- 积分：1
-
Gscale
说明： 采用matlab实现高斯金字塔，函数Gscale(img,levels,gsize,sigma)(To achieve Gaussian pyramid using matlab)
- 2010-03-21 23:46:52下载
- 积分：1
-
asgmt1
对于一张8位灰度图像lena.bmp
1）运用4×4抖动矩阵，生成对应抖动图像
2）生成有序抖动图像
3）对于一张24位彩色图像，生成4×4抖动图像( For a 8-bit gray image (lena.bmp)
1）Use a dithering matrix (4*4), generate the dithered image.
2) Generate the ordered ditering image (4*4).
3) For a 24-bit color image, generate the dithered image (4*4). )
- 2011-10-15 10:51:41下载
- 积分：1
-
MARK_Dehaze
2009年CVPR最佳论文《Single image haze removal using dark channel prior》暗原色图像去雾的算法实现。与原文不同的是本程序没有完成最后matting细化效果的部分，但仍能够达到视觉上可以接受的去雾效果。计算机视觉课程作业。工程运行于VS2008环境，需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。(CVPR 2009 Best Paper " Single image haze removal using dark channel prior" to the dark fog of the primary image algorithm. The difference is that with the original program did not complete the final matting refinement part，yet haze-removal result is visually acceptable. Visual course work. This project runs under VS2008 with OpenCV. Double click the exe file under Debug folder to check the final result.)
- 2011-08-10 16:46:35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
-
ErgQ
采用四元组进行图像融合质量评价的matlab程序，包括原文paper(Four-tuple image fusion matlab quality evaluation procedures, including the original paper)
- 2008-04-15 23:35:42下载
- 积分：1
-
基于阈值分割的车牌定位识别
说明： 图像处理案例，本程序用matlab实现基于阈值分割的车牌定位识别功能(Image processing case, this program uses MATLAB to achieve license plate location and recognition function based on threshold segmentation.)
- 2021-03-25 16:38:29下载
- 积分：1
-
pupil-localization
本函数选用阈值分割的方法来完成瞳孔定位。根据图像的灰度分布特性，瞳孔部分的灰度值最小，其次为虹膜部分，最大的为巩膜部分。因此在灰度直方图中，第一个大峰值的邻域即是瞳孔所在区域。(Function selects the threshold segmentation method to accomplish the pupil location. Based on image gray distribution features, the pupil part of the grey value of the minimum, followed by the iris part, the biggest part of sclera. So in gray level histogram, the peak value of the first big neighborhood is the pupil area.)
- 2021-04-07 22:09:01下载
- 积分：1
