Optimal intervals for fuzzy categories of color temperature with application to image browsing

Authors:
Wladyslaw Skarbek;Grzegorz Kukielka
Affiliations:
Institute of Radioelectronics, Warsaw University of Technology;Institute of Microelectronics and Optoelectronics, Warsaw University of Technology
Venue:
Machine Graphics & Vision International Journal - Special issue on latest results in colour image processing and applications
Year:
2002

Citing 3
Cited 2

Rough Sets: Theoretical Aspects of Reasoning about Data

Rough Sets: Theoretical Aspects of Reasoning about Data
Rough-Fuzzy Hybridization: A New Trend in Decision Making

Rough-Fuzzy Hybridization: A New Trend in Decision Making
Fuzzy logic = computing with words

IEEE Transactions on Fuzzy Systems

Image indexing by distributed color temperature descriptions

Fundamenta Informaticae
Image Indexing by Distributed Color Temperature Descriptions

Fundamenta Informaticae

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Abstract

This paper presents the results of experiments for a color temperature browsing descriptor. We consider the problem of the optimal conversion of an objective value (color temperature) into a subjective category (Hot, Warm, Neutral, and Cold). The situation where subjective categories are based on an objective object attribute appears to be common while comparing interpretation of human sensors with physical sensors. The proposed optimal procedure for segmenting the color temperature partition into four disjoint intervals and the experimental results are described.