基于粗糙粒模型的图像纹理识别和检索

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Abstract Most of the traditional image texture recognition method focuses on spectrum. In this paper, the layering idea is used based on granular computing theory to recognized the image texture features. Firstly, the rough granular theory is presented and the rough granular space model is constructed by introducing the concept of granular edges and layered entropy. Secondly, a kind of similarity calculation method is established based on granular edges and layered entropy. Then, a method of image texture recognition is put forward. The proposed method improves the practicality of the model and simplifies the calculation of texture recognition by synchronous identification and retrieval. Finally, the simulation result show that the performance of image retrieval is improved. The validity of the proposed method is testified by the contrast with other methods.

Key words： Rough Granular Granular Edges Layered Entropy Texture Recognition

Received: 25 March 2011

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	Articles by authors
	XU Jiu-Cheng
	LI Xiao-Yan
	ZHANG Ling-Jun
	LI Shuang-Qun

Cite this article:

XU Jiu-Cheng,LI Xiao-Yan,ZHANG Ling-Jun等. Image Texture Recognition and Retrieval Based on Rough Granular Model[J]. , 2012, 25(2): 225-229.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2012/V25/I2/225

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