• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Texture Superpixels Merging by Color-texture Histograms for Color Image Segmentation

Vol. 8, No. 7, July 28, 2014
10.3837/tiis.2014.07.011, Download Paper (Free):

Abstract

Pre-segmented pixels can reduce the difficulty of segmentation and promote the segmentation performance. This paper proposes a novel segmentation method based on merging texture superpixels by computing inner similarity. Firstly, we design a set of Gabor filters to compute the amplitude responses of original image and compute the texture map by a salience model. Secondly, we employ the simple clustering to extract superpixles by affinity of color, coordinates and texture map. Then, we design a normalized histograms descriptor for superpixels integrated color and texture information of inner pixels. To obtain the final segmentation result, all adjacent superpixels are merged by the homogeneity comparison of normalized color-texture features until the stop criteria is satisfied. The experiments are conducted on natural scene images and synthesis texture images demonstrate that the proposed segmentation algorithm can achieve ideal segmentation on complex texture regions.


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Cite this article

[IEEE Style]
H. Sima and P. Guo, "Texture Superpixels Merging by Color-texture Histograms for Color Image Segmentation," KSII Transactions on Internet and Information Systems, vol. 8, no. 7, pp. 2400-2419, 2014. DOI: 10.3837/tiis.2014.07.011.

[ACM Style]
Haifeng Sima and Ping Guo. 2014. Texture Superpixels Merging by Color-texture Histograms for Color Image Segmentation. KSII Transactions on Internet and Information Systems, 8, 7, (2014), 2400-2419. DOI: 10.3837/tiis.2014.07.011.