基于粒计算多层次结构相似度的图像检索

Journal of Guangxi Normal University(Natural Science Edition) ›› 2013, Vol. 31 ›› Issue (3): 127-131.

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Image Retrieval of Multi-level Similarity Based on Granular Computing

MA Yuan-yuan¹, LÜ Kang², XU Jiu-cheng¹

1.College of Computer and Information Technology,Henan Normal University,Xinxiang Henan 453007,China;
2.Henan Institute of Education,Zhengzhou Henan 450046,China

Received:2013-05-28 Online:2013-09-20 Published:2018-11-26

Abstract

Abstract: Each of the image points are corresponding with a point of feature space which is called feature vector,and the similarity of images can be measured by the distance between the feature vectors.Multi-level similarity of intelligent image retrieval system based on granular computing proposed in this paper is a scheme using unified formula and similarity to retrieve image.The method uses granular computing method not only in the image feature extraction and matching,but also in partition retrieval and multi-feature retrieval,which largely improves the image retrieval intelligent.

Key words: granular computing, multi-level, image retrieval, color

CLC Number:

TP391

MA Yuan-yuan, LÜ Kang, XU Jiu-cheng. Image Retrieval of Multi-level Similarity Based on Granular Computing[J].Journal of Guangxi Normal University(Natural Science Edition), 2013, 31(3): 127-131.

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