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Image segmentation with adaptive region growing based on a polynomial surface model

[+] Author Affiliations
Francis Deboeverie

Ghent University, Image Processing and Interpretation/iMinds, St-Pietersnieuwstraat 41, B9000 Ghent, Belgium

Peter Veelaert

Ghent University, Image Processing and Interpretation/iMinds, St-Pietersnieuwstraat 41, B9000 Ghent, Belgium

Wilfried Philips

Ghent University, Image Processing and Interpretation/iMinds, St-Pietersnieuwstraat 41, B9000 Ghent, Belgium

J. Electron. Imaging. 22(4), 043004 (Oct 02, 2013). doi:10.1117/1.JEI.22.4.043004
History: Received February 5, 2013; Revised August 27, 2013; Accepted September 9, 2013
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Abstract.  A new method for segmenting intensity images into smooth surface segments is presented. The main idea is to divide the image into flat, planar, convex, concave, and saddle patches that coincide as well as possible with meaningful object features in the image. Therefore, we propose an adaptive region growing algorithm based on low-degree polynomial fitting. The algorithm uses a new adaptive thresholding technique with the L fitting cost as a segmentation criterion. The polynomial degree and the fitting error are automatically adapted during the region growing process. The main contribution is that the algorithm detects outliers and edges, distinguishes between strong and smooth intensity transitions and finds surface segments that are bent in a certain way. As a result, the surface segments corresponding to meaningful object features and the contours separating the surface segments coincide with real-image object edges. Moreover, the curvature-based surface shape information facilitates many tasks in image analysis, such as object recognition performed on the polynomial representation. The polynomial representation provides good image approximation while preserving all the necessary details of the objects in the reconstructed images. The method outperforms existing techniques when segmenting images of objects with diffuse reflecting surfaces.

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© 2013 SPIE and IS&T

Citation

Francis Deboeverie ; Peter Veelaert and Wilfried Philips
"Image segmentation with adaptive region growing based on a polynomial surface model", J. Electron. Imaging. 22(4), 043004 (Oct 02, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.4.043004


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