Description: 基于别人框架实现直方图的交集图像检索
本人感觉要比其颜色矩和分块直方图的要更优一些，在此对其框架表示感谢-others based framework to achieve the intersection histogram image retrieval, I feel than its color moments and the block to the histogram better, in which framework expressed their gratitude Platform: |
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Author:刘广招 |
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Description: 基于别人框架实现直方图的交集图像检索
本人感觉要比其颜色矩和分块直方图的要更优一些，在此对其框架表示感谢-others based framework to achieve the intersection histogram image retrieval, I feel than its color moments and the block to the histogram better, in which framework expressed their gratitude Platform: |
Size: 3901440 |
Author:刘广招 |
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Description: 自己编的一些关于图像灰度直方图处理的MATLAB源程序，包括加权距离，累加直方图，欧氏距离，直方图相交法，中心距法共5种方法，可选择适合的选用。-Own some on the image histogram processing MATLAB source code, including the weighted distance, cumulative histogram, Euclidean distance, histogram intersection of law, from the Law Center, five kinds of methods to choose the appropriate selection. Platform: |
Size: 2048 |
Author:louwutao |
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Description: 图像相似度检测，下面是直方图相交的代码，同种图片的识别率达90％以上，性能非常稳定。
程序的例子是8位（256色）位图，其他位图类似。
-Image similarity detection, the following is the histogram intersection of the code, the same kinds of picture identification rate of 90, performance is very stable. Procedures for example is 8-bit (256 colors) bitmap, and other similar bitmap. Platform: |
Size: 2048 |
Author:zhaochuan |
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Description: 图像检索中颜色的特征提取及匹配算法，以家权欧几里得距离，中心距得加权距离，直方图交集算法等。-Image Retrieval color feature extraction and matching algorithm to the right home Euclid distance, center distance of a weighted distance, histogram intersection algorithm. Platform: |
Size: 35840 |
Author:李里 |
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Description: 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 Platform: |
Size: 3585024 |
Author:lipiji |
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Description: feature map for histogram intersection, map the data from hist intersection kernel to linear kernel-feature map for histogram intersection Platform: |
Size: 1024 |
Author:bryant |
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Description: 研究两幅图像匹配相似度衡量的方法，利用直方图的相关知识，采用相关，卡方，直方图相交,Bhattacharyyahe和EMD方法实现对两幅图像的相似度衡量。-Study two images matching similarity measure method, using the histogram of the relevant knowledge, using relevant, chi-square, histogram intersection, Bhattacharyyahe and EMD method of similarity measure of two images. Platform: |
Size: 5067776 |
Author:new |
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Description: 多模态数据的特征提取方法：时间序列数据及DTW高斯核,图像数据及直方交核 和字符串数据及字符串核-Feature extraction method of multi modal data, time series data and DTW Gauss, the image data and the histogram intersection kernel and string data and String Kernel Platform: |
Size: 4790272 |
Author:YU |
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Search - histogram intersection