Unsupervised color-texture segmentation based on multiscale quaternion Gabor filters and splitting strategy

作者：Li, Lei; Jin, Lianghai^*; Xu, Xiangyang; Song, Enmin

来源：Signal Processing, 2013, 93(9): 2559-2572.

DOI：10.1016/j.sigpro.2013.02.010

• Color-texture segmentation
• Multiscale quaternion Gabor filter
• Graph cuts
• Minimum description length

This paper proposes a new method for color-texture segmentation based on a splitting framework with graph cut technique. To process the scale difference of quaternion Gabor filter (QGF) features of a color textured image, a new multiscale QGF (MQGF) is introduced to describe texture attributes of the given image. Then, the segmentation is formulated in terms of energy minimization gradually obtained using binary graph cuts, where color and MQGF features are modeled with a multivariate finite mixture model, and minimum description length (MDL) principle is integrated into this framework as a splitting criterion. In contrast to previous approaches, our method finds an optimal segmentation by balancing energy cost and coding length, and the segmentation result is determined during the splitting process automatically. Experimental results on both synthetic and real natural color textured images demonstrate the good performance of the proposed method.

• 出版日期2013-9
• 单位华中科技大学