Generating High-quality Superpixels in Textured Images

Authors: Zhang, Z., Xu, P., Chang, J., Wang, W., Zhao, C. and Zhang, J.J.

Journal: Computer Graphics Forum

Volume: 39

Issue: 7

Pages: 421-431

eISSN: 1467-8659

ISSN: 0167-7055

DOI: 10.1111/cgf.14156

Abstract:

Superpixel segmentation is important for promoting various image processing tasks. However, existing methods still have difficulties in generating high-quality superpixels in textured images, because they cannot separate textures from structures well. Though texture filtering can be adopted for smoothing textures before superpixel segmentation, the filtering would also smooth the object boundaries, and thus weaken the quality of generated superpixels. In this paper, we propose to use the adaptive scale box smoothing instead of the texture filtering to obtain more high-quality texture and boundary information. Based on this, we design a novel distance metric to measure the distance between different pixels, which considers boundary, color and Euclidean distance simultaneously. As a result, our method can achieve high-quality superpixel segmentation in textured images without texture filtering. The experimental results demonstrate the superiority of our method over existing methods, even the learning-based methods. Benefited from using boundaries to guide superpixel segmentation, our method can also suppress noise to generate high-quality superpixels in non-textured images.

http://eprints.bournemouth.ac.uk/34964/

Source: Scopus

Generating High-quality Superpixels in Textured Images

Authors: Zhang, Z., Xu, P., Chang, J., Wang, W., Zhao, C. and Zhang, J.J.

Journal: COMPUTER GRAPHICS FORUM

Volume: 39

Issue: 7

Pages: 421-431

eISSN: 1467-8659

ISSN: 0167-7055

DOI: 10.1111/cgf.14156

http://eprints.bournemouth.ac.uk/34964/

Source: Web of Science (Lite)

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