| 基于颜色特征利用色矩与BTC法进行影像聚类 |
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| 引用本文： | 丁启伟,戴晨光,赵博.基于颜色特征利用色矩与BTC法进行影像聚类[J].测绘与空间地理信息,2011,34(3):162-164,167. |
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| 作者姓名： | 丁启伟 戴晨光 赵博 |
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| 作者单位： | 1. 信息工程大学测绘学院,河南郑州,450052
2. 65014部队,辽宁沈阳,110027 |
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| 摘 要： | 影像聚类是一种对影像数据进行分组的方法,在基于内容的影像检索中,如果能够利用较低层次的可视特征进行高效的影像聚类,将会大大提高影像检索的精度.文章分别利用色矩法与分块截短编码(BTC)方法提取影像颜色特征,然后采用K均值聚类算法来对两种方法进行聚类分析.实验结果表明,分块截短编码(BTC)方法的聚类精度优于色矩法.
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| 关 键 词： | 影像特征 聚类 色矩 BTC |
Image Clustering Using Color Moments and BTC Approach Based on Color Features |
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| DING Qi-wei,DAI Chen-guang,ZHAO Bo.Image Clustering Using Color Moments and BTC Approach Based on Color Features[J].Geomatics & Spatial Information Technology,2011,34(3):162-164,167. |
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| Authors: | DING Qi-wei DAI Chen-guang ZHAO Bo |
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| Institution: | DING Qi-wei1,DAI Chen-guang1,ZHAO Bo2(1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China,2.65014 Troops,Shenyang 110027,China) |
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| Abstract: | Image clustering is an approach to group a set of image data into different meaningful categories.The precision of the image retrieving will be much more improved in the content-based image retrieval if using the low-level visual features to cluster the images efficiently.In this paper,color moment and Block Truncation Coding(BTC) were used to extract color features,and K-Means clustering algorithm was conducted to cluster the image data based on the features.The experiment showed that the method of BTC is ... |
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| Keywords: | image features clustering color moments BTC |
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