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demo
关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)
- 2013-09-02 10:34:18下载
- 积分：1
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UFCLS
实现非监督的FCLS算法进行高光谱图像端元提取(Unsupervised FCLS algorithm)
- 2021-04-19 20:58:51下载
- 积分：1
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chang-detection
对两幅遥感图像进行变化监测，先求得差值图像，然后用FCM聚类方法分成变化类和不变类(On two remote sensing image change detection, the first difference image is obtained, then FCM clustering into the same category and class changes)
- 2016-07-02 09:24:19下载
- 积分：1
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3476562
源码PonyProg2000-2 07a tar gz()
- 2018-01-07 22:34:52下载
- 积分：1
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nonmaxsup
CANNY算子的非极大值抑制步骤，使用插值计算，支持不同的抑制半径(Non-maxima suppression step CANNY Operators using interpolation, support different radii suppression)
- 2016-05-19 11:38:16下载
- 积分：1
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HOUGH
将经过二值化的车道线图利用hough变换提取车道线(After binarization the lane line graph using hough transform to extract lane)
- 2011-01-21 15:33:57下载
- 积分：1
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傅里叶谱与频域低通滤波
说明： 傅里叶谱与频域低通滤波 (a)从图书网站下载图4.41(a)并计算其(居中)傅里叶谱。(b)显示频谱。(c)在等式(4.8-7)中实现高斯低通滤波器。您必须能够指定结果2D函数的大小，M x N。此外，您必须能够指定高斯函数的中心位置。(d)从图书网站下载图4.41(a)，并对其进行低通滤波，以复制图4.48中的结果。(Fourier Spectrum and Lowpass Filtering in Frequency Domain
(a) Download Fig. 4.41(a) from the book web site and compute its (centered) Fourier spectrum.
(b) Display the spectrum.
(c) Implement the Gaussian lowpass filter in Eq. (4.8-7). You must be able to specify the size, M x N, of the resulting 2D function. In addition, you must be able to specify the location of the center of the Gaussian function.
(d) Download Fig. 4.41(a) from the book web site and lowpass filter it to duplicate the results in Fig. 4.48.)
- 2018-12-24 21:49:57下载
- 积分：1
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Broveryxscrh
此代码为运用brovery进行像素层的融合，主要用于图像处理中的图像融合(This code is applied brovery the pixel level fusion, mainly for image processing of image fusion)
- 2013-11-09 15:07:20下载
- 积分：1
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dwtprocedure
整个数字水印的程序。包括峰值信躁比的计算，各种攻击后的水印提取等等。(entire digital watermarking process. Including peak impatient than the letter, after the attacks watermark extraction, and so on.)
- 2007-04-14 14:53:18下载
- 积分：1
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8-(1)
图像修复是对图像中破损区域进行信息填充，以减少图像破损所带来的信息损失的过程。
传统的图像修复方法需要依赖图像的具体结构来制定相应的修复方法，压缩感知理论的提出，使得可以利
用信号的稀疏性来对图像进行修复。基于K 奇异值分解（KSVD）与形态学成分分析（MCA，Morphological
Component Analysis）的图像修复方法首先采用形态学成分分析方法对破损图像进行特征分析，将其分解
为结构部分和纹理部分；然后基于学习型字典KSVD分别对这两部分进行过完备字典训练；最后利用训练得
到的字典实现对破损图像的修复。相比于传统的图像修复方法，该方法具有适应性强、修复效果好等优点(Image inpainting is to fill the missing data in corrupted images and thus to reduce
the information loss of damaged image. Traditional inpainting algorithms are dependent on specific
structure of target images compressive sensing theory makes is possible to realized image
inpainting with signal sparsity. This paper proposes a novel inpainting algorithm based on KSVD
and MCA algorithm, which first decomposes the image into texture part and structure part, and
then trains the two dictionaries for these two parts with KSVD and reconstructs the original image
with these two trained dictionaries. Experiment indicates that the proposed algorithm is of better
adaptability and performance as compared with traditional algorithms.)
- 2020-07-31 15:08:38下载
- 积分：1
