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 | Source: | 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. | Document URI: | http://hdl.handle.net/1942/11691 | ISBN: | 978-1-4244-7993-1 | DOI: | 10.1109/ICIP.2010.5652328 | ISI #: | 000287728000037 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2012 |
Appears in Collections: | Research publications |
Show full item record
SCOPUSTM
Citations
7
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
9
checked on Oct 14, 2024
Page view(s)
74
checked on Aug 6, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.