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K-Means PCA降维
K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the characteristics of data clustering data. The principal component analysis reduces the dimension, carries on the visualization operation to the data, reduces the dimension to the features.)
- 2017-06-22 22:05:55下载
- 积分：1
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sift
基于sift的图片近似拷贝检测技术算法的实现(Sift-based image copy detection technology approximation algorithm)
- 2013-11-05 13:48:14下载
- 积分：1
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A-Watermarking-Algorithm(MATLAB)--
盲水印提取时不需要参考原始载体图像,在信息隐藏、版权保护等方面具有更广泛的应用前景。提出的盲水印算法在分块离散余弦变换(DCT)和离散小波变换(DWT)的基础上,利用关系双方DCT系数和DWT系数在受到攻击时具有相同变化趋势的特点,采用关系嵌入和量化嵌入的自适应选择嵌入策略,较大幅度地提高了盲水印提取的鲁棒性。同时在量化嵌入中采用抖动调制,实现了水印透明性和鲁棒性调节的便捷性。大量仿真实验结果表明该算法对噪声干扰、低通滤波、JPEG压缩、对比度增强等攻击有很好的鲁棒性和透明性。关键词 数字水印盲水印关系嵌入量化嵌入离散余弦变换离散小波变换
按这篇文章的算法，自己编的matlab,没有攻击时水印提取率为1，加水印后图像PSNR有45+，。有攻击后提取率也有0.9+。(Blind watermark extraction can be fulfilled without referring to the original host image. Therefore it hasmuch
prospective applications in the fields of information hiding and copyright protection. Based on blocking Discrete Cosine
Transform (DCT) and blocking DiscreteWaveletTransform (DWT), the proposed blind watermarking algorithm uses an
embedding strategy of adaptively selecting either relationship embedding or quantization embedding. The relationship em-
bedding comes from the observation thatboth themagnitudes of coefficients concerned in the relationship usually have thesame change trend when the image is attacked. This strategy remarkably improves the robustness ofwatermark extraction.In addition, dithermodulation is used in quantization embedding, bywhich the tradeoff between transparency and robus-tness ofwatermarking can be easily adjusted. Simulation results show that the algorithm is fairly robust against the attacks such as noise, filtering, compression, and contrast )
- 2013-04-14 16:15:47下载
- 积分：1
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hist
设计一个程序，对一幅灰度图像现直方图均衡化处理。画出均衡化前后的图像及其直方图
(histogram equalization )
- 2009-05-02 12:27:54下载
- 积分：1
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curvelet_feature
该源码可以实现对彩色或灰度图像的曲波（Curvelet）特征的提取，以便后续做纹理图像分割。(The source can be achieved in color or grayscale images Qu Bo (Curvelet) feature extraction in order to do follow-up texture image segmentation.)
- 2020-12-30 14:29:00下载
- 积分：1
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PFA_1
经典的聚束SAR成像算法-极坐标格式成像算法(A typical imaging algorithm of spotlight mode SAR)
- 2021-04-19 21:48:51下载
- 积分：1
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ROA
经典的针对SAR图像边缘检测的ROA算法(edge detection using ROA operator in SAR image)
- 2013-05-09 09:38:41下载
- 积分：1
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medcalinhance
本程序实现医学图像的增强，实验显示，处理后的医学图像轮廓清晰，可识性较好。(This procedure to achieve medical image enhancement, experiments showed that the treated medical image outline a clear, identifiable better.)
- 2021-01-26 23:18:41下载
- 积分：1
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palmprint recognition
这是一个简单的掌纹识别系统，运用了PCA算法，可以做到较快的运算。(This is a simple palmprint recognition system that uses the PCA algorithm to achieve faster calculations.)
- 2018-04-12 17:58:55下载
- 积分：1
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demoBagSVM
一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)
- 2013-09-03 10:44:56下载
- 积分：1
