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Color-Texture-Based Image Retrieval System Using Gaussian Markov Random Field Model
- Source :
- Mathematical Problems in Engineering, Vol 2009 (2009)
- Publication Year :
- 2009
- Publisher :
- Hindawi Limited, 2009.
-
Abstract
- The techniques of -means algorithm and Gaussian Markov random field model are integrated to provide a Gaussian Markov random field model (GMRFM) feature which can describe the texture information of different pixel colors in an image. Based on this feature, an image retrieval method is also provided to seek the database images most similar to a given query image. In this paper, a genetic-based parameter detector is presented to decide the fittest parameters used by the proposed image retrieval method, as well. The experimental results manifested that the image retrieval method is insensitive to the rotation, translation, distortion, noise, scale, hue, light, and contrast variations, especially distortion, hue, and contrast variations.
- Subjects :
- Article Subject
Pixel
Computer science
business.industry
General Mathematics
lcsh:Mathematics
General Engineering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Pattern recognition
lcsh:QA1-939
Image texture
Feature (computer vision)
lcsh:TA1-2040
Distortion
Computer Science::Computer Vision and Pattern Recognition
Computer vision
Artificial intelligence
Hidden Markov model
business
lcsh:Engineering (General). Civil engineering (General)
Image retrieval
Hue
Feature detection (computer vision)
Subjects
Details
- Language :
- English
- ISSN :
- 15635147
- Volume :
- 2009
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....b6e00dd7a68e9e3937b07a5004f75e9c