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Color Image Profiling Using Fuzzy Sets
2005
Journal:  
Turkish Journal of Electrical Engineering and Computer Science
Author:  
Abstract:

In this article, a software for image indexing and retrieval is presented. The classification proposed here is based on the dominant color(s) of the images. The process consists in assigning a colorimetric profile to the image in HLS space (Hue, Lightness, Saturation). First, the definition of hue is done thanks to a fuzzy representation to take into account the non-uniformity of colors distribution. And then, lightness and saturation are represented through linguistic qualifiers also defined in a fuzzy way. Finally, the profile is built through fuzzy functions representing the membership degree of the image to different classes. In order to improve the performances i.e. to define more accurate profiles, we propose to consider zones of pixels, instead of pixels individually. Those zones can be constructed thanks to an edge detection algorithm. A sample of pixels is chosen inside a zone to determine the color of the zone. According to the detected dominant colors, such a software may be used to classify indoor/outdoor images for example, or harmonious/disharmonious images...

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Turkish Journal of Electrical Engineering and Computer Science

Field :   Mühendislik

Journal Type :   Uluslararası

Metrics
Article : 2.879
Cite : 1.402
2023 Impact : 0.016
Turkish Journal of Electrical Engineering and Computer Science