Open AccessUse and analysis of color models in image processing
Author(s) -
Bhubneshwar Sharma,
Rupali Nayyer
Publication year - 2015
Publication title -
international journal of advances in scientific research
Language(s) - English
Resource type - Journals
ISSN - 2395-3616
DOI - 10.7439/ijasr.v1i8.2460
Subject(s) - rgb color model , artificial intelligence , computer vision , hsl and hsv , computer science , color image , color model , color analysis , image processing , color histogram , color difference , color normalization , color balance , pattern recognition (psychology) , color space , image (mathematics) , enhanced data rates for gsm evolution , virus , virology , biology
The use of color image processing is divided by two factors. First color is used in object identification and simplify extraction from a scene and color is powerful descriptor.Second, humans can used thousands of color shades and intensities.Color Image Processing is divided into two areas full color and pseudocolor processing.In this processing various color models are used that are based on color recognition,color components etc. A few papers on various applications such as lane detection, face detection, fruit quality evaluation etc based on these color models have been published. A survey on widely used models RGB,HSI, HSV, RGI etc is represented in this paper.