Art

J-GLOBAL ID：201502204081158260   Reference number：15A1311694

Food Image Enhancement by Adjusting Intensity and Saturation in RGB Color Space

RGB色空間における強度と彩度の調整による食品の画像強調

Author (6)： UEDA Chiaki (Graduate School of Sci. and Engineering, Yamaguchi Univ.) ,  IBATA Minami (Graduate School of Sci. and Engineering, Yamaguchi Univ.) ,  AZETSU Tadahiro (Office for Information and Technol., Yamaguchi Prefectural Univ.) ,  SUETAKE Noriaki (Graduate School of Sci. and Engineering, Yamaguchi Univ.) ,  UCHINO Eiji (Graduate School of Sci. and Engineering, Yamaguchi Univ.) ,  UCHINO Eiji (Fuzzy Logic Systems Inst.)
Material： IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Web)  (IEICE Trans Fundam Electron Commun Comput Sci (Web))
Volume： E98.A  Issue： 11  Page： 2220-2228 (J-STAGE)  Publication year： 2015 
JST Material Number： U0466A  ISSN： 1745-1337  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *food ,  image ,  *picture enhancement ,  color space ,  chrominance signal ,  *strength ,  *saturation (color) ,  hue ,  color control ,  electronic camera ,  RGB ,  digital camera ,  *color intensity
Semi thesaurus term： hue saturation value color space

JST classification (2)： Graphic and image processing in general  (JE04010I) ,  Food in general  (FJ01010Y)

Reference (14)：

• [1] S. Gunasekaran, “Computer vision technology for food quality assurance,” Trends. Food Sci. Tech., vol.7, no.8, pp.245-256, Aug. 1996.
• [2] D. Mery and F. Pedreschi, “Segmentation of colour food images using a robust algorithm,” J. Food Eng., vol.66, no.3, pp.353-360, Feb. 2005.
• [3] T. Joutou and K. Yanai, “A food image recognition system with multiple kernel learning,” 2009 16th IEEE International Conference on Image Processing (ICIP), pp.285-288, Nov. 2009.
• [4] C.L. Chien and D.C. Tseng, “Color image enhancement with exact HSI color model,” Int. J. Innovative Computing, Information and Control, vol.7, no.12, pp.6691-6710, Dec. 2011.
• [5] M.D. Fairchild and E. Pirrotta, “Predicting the lightness of chromatic object colors using CIELAB,” Color Res. Appl., vol.16, no.6, pp.385-393, Dec. 1991.

Terms in the title (5)： RGB ,  色空間 ,  彩度 ,  食品 ,  画像強調