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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11691

Title: Decolorizing Images for Robust Matching
Authors: ANCUTI, Codruta
ANCUTI, Cosmin
BEKAERT, Philippe
Issue Date: 2010
Publisher: IEEE
Citation: Proceedings of the 17th IEEE International Conference on Image Processing (IEEE ICIP 2010). p. 149-153.
Abstract: Even though the color contains important distinctive information, it is mostly neglected in many fundamental vision applications (such as image matching) since the standard grayscale conversion (luminance channel) is employed extensively. This paper introduces a novel image decolorization technique that besides performing a perceptually accurate color mapping as the other state-of-the-art operators did, it focuses to increase as well the local contrast by manipulating effectively the chromatic information. Additionally, we perform an extensive evaluation of the several recent SIFT-derived local operators in context of image matching when the camera viewpoint is varied and images are differently decolorized based on several recent grayscale operators. The experiments prove the effectiveness of our approach that is able to decolorize accurately images but also to improve the matching results.
URI: http://hdl.handle.net/1942/11691
DOI: 10.1109/ICIP.2010.5652328
ISI #: 000287728000037
ISBN: 978-1-4244-7993-1
ISSN: 1573-7721
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2012
Appears in Collections: Research publications

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