Energy-Based Perceptual Segmentation Using an Irregular Pyramid

This paper implements a fast bottom-up approach for perceptual grouping. The proposal consists of two main stages: firstly, it detects the homogeneous blobs of the input image using a color-based distance and then, it hierarchically merges these blobs according to a set of energy functions. Both stages are performed over the Bounded Irregular Pyramid. The performance of the proposed algorithm has been quantitatively evaluated with respect to ground---truth segmentation data.

[1]  Francisco Sandoval Hernández,et al.  Pyramid segmentation algorithms revisited , 2006, Pattern Recognit..

[2]  P. Matsakis,et al.  The use of force histograms for affine-invariant relative position description , 2004 .

[3]  Francisco Escolano,et al.  Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop, GbRPR 2007, Alicante, Spain, June 11-13, 2007, Proceedings , 2007, GbRPR.

[4]  Thomas S. Huang,et al.  Image processing , 1971 .

[5]  Yll Haxhimusa,et al.  Constructing Stochastic Pyramids by MIDES - Maximal Independent Directed Edge Set , 2003, GbRPR.

[6]  Zhuowen Tu,et al.  Supervised Learning of Edges and Object Boundaries , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[7]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[8]  Jiebo Luo,et al.  Perceptual grouping of segmented regions in color images , 2003 .

[9]  Pascal Bertolino,et al.  Similarity-based and perception-based image segmentation , 2005, IEEE International Conference on Image Processing 2005.

[10]  Laurent D. Cohen,et al.  A Metric Approach to Vector-Valued Image Segmentation , 2006, International Journal of Computer Vision.

[11]  Francisco Sandoval Hernández,et al.  The Construction of Bounded Irregular Pyramids with a Union-Find Decimation Process , 2007, GbRPR.

[12]  Jitendra Malik,et al.  Learning to detect natural image boundaries using local brightness, color, and texture cues , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Jitendra Malik,et al.  Using contours to detect and localize junctions in natural images , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[14]  David A. McAllester,et al.  A Min-Cover Approach for Finding Salient Curves , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[15]  Jitendra Malik,et al.  A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[16]  Atilla Baskurt,et al.  Combining local belief from low-level primitives for perceptual grouping , 2008, Pattern Recognit..