Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/443
Title: Color image profile comparison and computing
Authors: Zakhem, Imad El 
Younes, Amine
Truck, Isis
Greige, Hanna 
Akdag , Herman
Affiliations: Department of Computer Science 
Department of Mathematics 
Keywords: Colorimetric profile
Color representation
Perception modeling
Image retrieval
Subjects: Fuzzy logic
Issue Date: 2007
Part of: ICSOFT 2007
Start page: 228
End page: 231
Conference: International Conference on Software and Data Technologies (2nd : 22-25 July 2007 : Barcelona, Spain) 
Abstract: 
This paper describes a method that analyzes the content of images while building their colorimetric profile as perceived by the user. First, images are being processed relying on a standard or initial set of parameters using the fuzzy set theory and the HLS color space (Hue, Lightness, Saturation). These parameters permit to describe and qualify the colors and their properties. Each image is processed pixel by pixel and is affected to a detailed initial colorimetric profile. Secondly, we present a method that will recalculate the amount of colors in the image based on another set of parameters, so the colorimetric profile of the image is being modified accordingly. Avoiding the repetition of the process at the pixel level is the main target of this phase, becausereprocessing each image is time consuming and turned to be not feasible. Finally we present the software thatprocesses images and that recalculates their colorimetric profiles with some examples.
URI: https://scholarhub.balamand.edu.lb/handle/uob/443
Open URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Computer Science

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