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KSVD_Matlab_ToolBox
数字图像处理，K-SVD字典学习方法，信号的稀疏与冗余表示理论，图像压缩，图像去噪(Digital image processing, K-SVD dictionary learning methods, sparse and redundant signal representation theory, image compression, image denoising)
- 2020-10-07 17:27:36下载
- 积分：1
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docLisegmentationcode
精心收集博士生编写的图像分割源代码，可以在matlab环境下使用。(Carefully prepared collection of doctoral image segmentation source code, you can use in the matlab environment.)
- 2008-05-27 13:10:37下载
- 积分：1
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open
纯C实现的 图像处理开运算，对bmp格式(Pure C implementation of image processing open operation on bmp format)
- 2014-03-11 20:15:44下载
- 积分：1
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imSelectROI
可以随意选取图像中多个感兴趣的区域进行操作(Can select multiple images in areas of interest to operate)
- 2008-01-03 12:57:42下载
- 积分：1
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ASM
ASM算法的matlab实现，完整的ASM算法流程，包含各个子程序(ASM algorithm matlab achieve complete ASM algorithm process contains various subroutines)
- 2012-12-11 12:50:09下载
- 积分：1
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Image-salient-regions
图像显著性，利用Itti视觉显著性分析算法，提取视觉对输入图像的感兴趣部分(Image salient regions)
- 2011-12-18 23:44:02下载
- 积分：1
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PG_BOW_DEMO
图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。
其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？
用BoW描述完图像之后，指的是将训练集以及测试集的图像都用BoW模型描述了，就可以用SVM训练分类模型进行分类了。
在这里除了用SVM的RBF核，还自己定义了一种核： histogram intersection kernel，直方图正交核。因为很多论文说这个核好，并且实验结果很显然。能从理论上证明一下么？通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。(Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set.
In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem?
After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified.
Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram )
- 2011-11-01 17:01:09下载
- 积分：1
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SLIC
说明： 将像素点划分为超像素，便于进行图像处理！(Implementing superpixel segmentation)
- 2019-11-29 20:35:08下载
- 积分：1
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一维
说明： 摄像头条形码识别，可以发送命令识别后，展示识别码质量(ShopSavvy Barcode Scanner)
- 2020-05-29 10:32:42下载
- 积分：1
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hungarian-rvm
一种基于匈牙利算法和相关向量机的点模式匹配算法，可以有效解决点集的刚性和非刚性变换的参数求解问题。(A point set registration method based on Hungarian Algorithm and RVM which can well solve the parameters of rigid and non-rigid transform.)
- 2015-05-23 21:41:48下载
- 积分：1
