Paper Info
Title
RGS: novel blind color-recovery technique with applications to complex outdoor scenes
Abstract
Color is an important source of information for: image comparisons, retrieval, and analysis. Unfortunately, color is strongly affected by many factors and a suitable color recovery preprocessing step is necessary to fully exploit the power of chromatic features. This paper describes a new hybrid technique for color recovery, which gives improved performance even in presence of sensible environmental changes. The technique combines one of the most effective retinex algorithm (McCann99) with the gray-world transformation applied at multiple resolutions. A non linear post processing step is also proposed that improves the final color balance and range. Extensive experimental tests have been performed both on synthetic and real images, that confirm the robustness and the enhanced color recovery capability with respect to other on the edge techniques. The proposed method has been used in a real time system for the automatic recognition of those plates that denote vehicles for dangerous-goods transportation. Some results about this last system are reported in the paper.
Year
DOI
Venue
2005
10.1109/ICIP.2005.1530552
Image Processing, 2005. ICIP 2005. IEEE International Conference
Keywords
Field
DocType
image colour analysis,RGS,automatic recognition,blind color-recovery technique,complex outdoor scenes,gray-world transformation,hybrid technique,retinex algorithm
Computer vision,Color constancy,Nonlinear system,Chromatic scale,Pattern recognition,Computer science,Color balance,Robustness (computer science),Real-time operating system,Preprocessor,Artificial intelligence,Real image
Conference
Volume
ISSN
ISBN
3
1522-4880
0-7803-9134-9
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Alessandro Mecocci16014.38
Gregorio Molinari200.34