ピシュバ ダバー   PISHVA Davar    所属   立命館アジア太平洋大学  サステイナビリティ観光学部    職種   教授
言語種別	英語
発行・発表の年月	2010/06
形態種別	論文（学術誌・プロフェショナル誌）
標題	Texture Analysis for Food Recognition
執筆形態	共著
掲載誌名	IEICE Technical Reports on Pattern Recognition and Media Understanding
巻・号・頁	110(97),pp.69-74
著者・共著者	K. N. Do, J. Ohya
概要	This paper studies the effectiveness of texture analysis methods for classifying different food items having the same color. This paper studies two texture analysis methods: gray-level co-occurrence matrix (GLCM) based features and Fourier Transform (FT) based features. We carried out experiments on testing the effectiveness of the two texture features using six different food items, where two food items having three colors: white, red and yellow are used. From the experimental results, it turns out that GLCM features and FT’s spatial frequency based features are promising.