Title :
Color removal transformation by using fuzzy inference model
Author :
Cha, Byungki ; Kawano, Hideaki ; Suetake, Noriaki ; Aso, Takashi
Author_Institution :
Kyushu Inst. of Inf. Sci.
Abstract :
In order to convert a color image into a monochrome one, luminance components of the color image are extracted, and are used in the typical photo re-touching software. This luminance extraction is useful and enough for obtaining a monochrome image in most cases. However, saliencies of the image included only in the chrominance components are not preserved at all. In this paper, we propose a new color removal method that employs the concept of signed color distance, and a fuzzy model. The effectiveness of the proposed method is verified by applying it to some images.
Keywords :
feature extraction; fuzzy set theory; image colour analysis; inference mechanisms; color image extraction; color removal transformation; fuzzy inference model; luminance components; photo retouching software; Color; Computational efficiency; Data mining; Equations; Gradient methods; Image converters; Optimization methods; Pixel; Reflection; Sun; Color image; fuzzy inference model; monochrome image; signed color distance;
Conference_Titel :
Automation Congress, 2008. WAC 2008. World
Conference_Location :
Hawaii, HI
Print_ISBN :
978-1-889335-38-4
Electronic_ISBN :
978-1-889335-37-7
