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matlab-hough
说明： 在matlab中应用hough变换进行虹膜定位，效果不错，供大家学习！(Application of the hough transform matlab for iris location, good results for everyone to learn!)
- 2009-07-27 18:43:14下载
- 积分：1
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ImageCompression
说明： 给出了一种基于小波分形的图像有损压缩方法.首先，利用小波变换将图像分解为不同频率的分量，然后采用分形迭代函数系统、Huffman树等方法对它们进行编码.实验表明，该算法在保证还原图像质量的情况下，有较高的压缩比.(Image Compression Bassed on Wavelet and Fractal)
- 2009-08-17 22:53:54下载
- 积分：1
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SSIM_Matlab_
用ssim方法对两幅图像进行比较的matlab源码( useful code of matlab for comparing of two pictures)
- 2021-04-23 15:18:48下载
- 积分：1
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Ratematching_byylluo
LTE中速率匹配的代码，包括子块交织，比特搜集，比特选择和修剪(The code rate matching in LTE, including the sub-block interleaving and bit gather, bit selection and pruning)
- 2011-01-23 21:35:25下载
- 积分：1
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zd
说明： 自相关算法,用于图像处理方面，可以用来处理模糊的图像(Autocorrelation algorithm, for image processing, can be used to deal with blurred images.)
- 2018-07-09 10:13:06下载
- 积分：1
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5
说明： python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)
- 2019-07-17 10:53:57下载
- 积分：1
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roidpoly
感兴趣区域提取,已通过实验证其可行性以及实用性(region of interest detect )
- 2009-06-12 10:12:53下载
- 积分：1
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JPEGJsteg
说明： Jsteg_Mu可批量对JPEG图像进行Jsteg隐写。
Jpeg_Or 为jpeg密写的原始图像的文件夹，
Jpeg_Di 为jpeg密写后密写了的图像的文件夹,code_file 为密写的文件,rate 为密写嵌入率.(Jsteg_Mu JPEG images can be batch Jsteg on steganography. Jpeg_Or jpeg steganography for the original image folder, Jpeg_Di as jpeg steganography written after the close of the images folder, code_file written document for the dense, rate for the steganography embedding rate.)
- 2010-04-09 11:07:58下载
- 积分：1
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Local-Binary-Patterns
局部二进制模式，LBP，是已被用于纹理特征的一个
分类。在本文中，提出了一种基于使用这些功能的方法
检测缺陷图案的面料。在培训阶段，在第一个步骤LBP算子是
施加到无缺陷织物样品，逐个象素和参考的所有的行（列）
特征矢量的计算。那么这个图像被分为Windows和LBP算子是
应用这些窗口的每一行（列）。根据与参考比较
特征向量一个合适的阈值，无缺陷的窗户被发现。在检测阶段中，一个
测试图像被划分成的窗户，并使用阈值时，有缺陷的窗口可以
检测到。该方法简单，灰度不变。由于其简单性，
线上实现是可能的。(Local Binary Patterns, LBP, is one of the features which has been used for texture
classification. In this paper, a method based on using these features is proposed for
detecting defects in patterned fabrics. In the training stage, at first step LBP operator is
applied to all rows (columns) of a defect free fabric sample, pixel by pixel, and the reference
feature vector is computed. Then this image is divided into windows and LBP operator is
applied to each row (column) of these windows. Based on comparison with the reference
feature vector a suitable threshold for defect free windows is found. In the detection stage, a
test image is divided into windows and using the threshold, defective windows can be
detected. The proposed method is simple and gray scale invariant. Because of its simplicity,
online implementation is possible as well. )
- 2014-05-26 22:42:00下载
- 积分：1
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MRF_BENCH
实现了C聚类以后的马尔科夫图像分割，对阈值的选取和图像的后验概率计算(C clustering after the Markov segmentation, the posterior probability threshold value is selected and images calculated)
- 2013-04-28 23:21:40下载
- 积分：1
