Theoretical quantification of shape distortion in fuzzy Hough transform

Authors:
Jayanta Basak;Sankar K. Pal
Affiliations:
IBM India Research Laboratory, Block-I, Indian Institute of Technology, Hauz Khas, New Delhi 110016, India;Machine Intelligence Unit, Indian Statistical Institute, Calcutta 700 035, India
Venue:
Fuzzy Sets and Systems
Year:
2005

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Abstract

We present a generalization of classical Hough transform in fuzzy set theoretic framework (called fuzzy Hough transform or FHT) in order to handle the impreciseness/ill-definedness in shape description. In addition to identifying the shapes, the methodology can quantify the amount of distortion present in each shape by suitably characterizing the parametric space. We extended FHT to take care of gray level images (gray FHT) in order to handle the gray level variation along with shape distortion. The gray FHT gives rise to a scheme for image segmentation based on the a priori knowledge about the shapes.