inria-00548685, version 1
Color feature detection
Theo Gevers
1Joost Van De Weijer 2Harro Stokman 1
Color image processing: methods and applications CRC press (Ed.) (2007) 203--226
Abstract: The detection and classification of local structures (i.e., edges, corners, an T-junctions) in color images is important for many applications, such as image segmentation, image matching, object recognition, and visual tracking in the fields of image processing and computer vision. In general, those local image structures are detected by differential operators that are commonly restricted to luminance information. However, most of the images recorded today are in color. Therefore, in this chapter, the focus is on the use of color information to detect and classify local image features.
- 1: Intelligent Systems Lab. (ISLA)
- University of Amsterdam
- 2: LEAR (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
- CNRS : FR71 – CNRS : UMR5527 – INRIA – Laboratoire Jean Kuntzmann – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
- Domain : Computer Science/Computer Vision and Pattern Recognition
- inria-00548685, version 1
- http://hal.inria.fr/inria-00548685
- oai:hal.inria.fr:inria-00548685
- From: Team Lear
- Submitted for:
- Submitted on: Monday, 24 January 2011 09:01:12
- Updated on: Thursday, 27 January 2011 10:13:51






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