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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/8698

Title: Image feature extraction for image database content description: Indoor room images
Authors: Nor Mas Aina, Md Bohari
Amir Syarifuddin, Kasim
Keywords: Content based image retrieval;Feature extraction;Scale-Invariant Feature Transform (SIFT);Elastic Bucket Tries;Fuzzy-Rule Based;Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
Issue Date: 20-Jun-2009
Publisher: Universiti Malaysia Pahang (UMP)
Citation: p.1-2
Series/Report no.: Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009
Abstract: This paper presents the theoretical concept and design of image feature extraction by using selected hybrid image feature extraction techniques; the combination of Scale-Invariant Feature Transform (SIFT), Elastic Bucket Tries and Fuzzy-Rule Based techniques. We show the advantages and disadvantages of the combination of those techniques, tested for indoor room images. The proposed indoor images style was Malay, Chinese and Indian. The result is hoped to contribute a significant idea to the development of technology in classifying the indoor room images based on other styles such as Bali, English etc.
Description: MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.
URI: http://hdl.handle.net/123456789/8698
Appears in Collections:Conference Papers

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