-
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
-
wnrVC6.0
运动模糊图像 图像复原 维纳滤波复原 逆滤波复原 VC++6.0程序 代码(Motion-blurred image restoration image restoration Wiener filtering inverse filtering to recover VC++ 6.0 code)
- 2020-12-12 11:29:17下载
- 积分：1
-
MATLAB
实验2绿叶变色，实验3图像数字化显示，实验4图像类型转换，实验5对比度增强，实验6直方图均衡化和规定化，实验7噪声添加和空域滤波，实验8边缘增强和边缘检测，实验9彩色图像增强，fft，dct，dwt变化及压缩，滤波器，实验20运动退化和维纳波复原，实验21图像的几何畸形校正等实验的代码和报告(Experiment 2 leaves change color, 3 digital image display, the image type conversion, 4 5 contrast enhancement experiment, the experiment 6, histogram equalization and regulations 7 noise adding and spatial filtering experiment, experiment and edge enhancement and edge detection, the experiments of 9 color image enhancement, FFT and DCT, DWT and compression, filter, degradation experiment of 20 movement and wiener recovery, experiment 21 image geometric deformity correction code and report)
- 2016-05-11 21:12:47下载
- 积分：1
-
Gradient-vector-diffusion-denoising
梯度矢量扩散控制实现边缘保持的彩色图像去噪(Gradient vector diffusion denoising realize control color image edge preserving
)
- 2014-09-13 14:34:09下载
- 积分：1
-
图像拼接---去除黑边
使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)
- 2019-04-02 15:24:23下载
- 积分：1
-
retinex
这是我自己写的关于 图像处理中retinex、SSR、自适应的对比度增强算法的模板，有很好的效果 希望对你们有帮助( this is for retinex module, I wish it can help for you )
- 2009-03-30 09:43:16下载
- 积分：1
-
delaunay
VC和OpenGL实现的点云读取界面，需要的朋友可以下载参考(VC and OpenGL realize the point cloud to read interface, the need for a friend can download the reference)
- 2021-04-08 12:39:01下载
- 积分：1
-
粒子群算法的Pareto多目标函数优化
粒子群算法的Pareto多目标函数优化，适用于多目标问题的寻优(Particle swarm optimization Pareto multi-objective function optimization, suitable for multi-objective optimization.)
- 2020-12-23 17:29:06下载
- 积分：1
-
psnr
图像处理的峰值信噪比计算程序，简单精确，直接算出值(PSNR calculation program image processing, simple accurate, direct calculation value)
- 2016-05-04 09:22:47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
