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- Title
Feature-Based Image Segmentation.
- Authors
Tsai, Meng-Hsiun; Chan, Yung-Kuan; Hsu, An-Mei; Chuang, Chia-Yi; Wang, Chuin-Mu; Huang, Po-Whei
- Abstract
Abstract The real world abounds with textured surfaces. Texture-based object segmentation is one of the early steps towards identification of surfaces and objects in an image. In this article, a feature-based segmentation (FBS) method is provided to isolate objects that consist of similar texture patterns from an image based on the following features: inverse difference moment of gray-level co-occurrence matrix, contrast of Tamura, and gradient. In this article, a genetic algorithm is also provided to decide the most suitable values of the parameters used in the FBS method. The experimental results show that the FBS method can provide expressive segmentation results.
- Subjects
IMAGE segmentation; TEXTURE analysis (Image processing); GENETIC algorithms; SURFACE properties; PARAMETRIC modeling; DISCRETE wavelet transforms
- Publication
Journal of Imaging Science & Technology, 2013, Vol 57, Issue 1, p1
- ISSN
1062-3701
- Publication type
Article
- DOI
10.2352/J.ImagingSci.Technol.2013.57.1.010505