Unsupervised Image Segmentation via Affinity Propagation

Abstract:

Image segmentation is an important research subject in the area of image processing. Most of the existing image segmentation methods partition the image based on the single cue of the image, the color, which brings a serious limitation when the complex scenes involve in the natural images. In this paper, we introduce a novel unsupervised image segmentation method via affinity propagation which takes into local texture and color features with superpixel map. The new method fuses color and texture information as local feature of each superpixel. The experimental results show that the proposed method performs better and steadier when partitioning various complex nature images, comparing to the existing methods.

• Periodical: Applied Mechanics and Materials (Volume 610)
• Pages: 464-470
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.610.464
• Online since: August 2014
• Authors: Wei Fu Peng*, Shu Du, Fu Xiang Li
• Keywords: Affinity Propagation, Feature Fusion, Filter Banks, LBP, Segmentation, Superpixel

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