Title :
Shape Orientation Pattern
Author :
Venkatraghavan, Vikram ; Agarwal, Maruti ; Roy, Ajoy K.
Author_Institution :
Electron. & Commun. Eng. Dept., Nat. Inst. of Technol., Trichy, India
Abstract :
Due to the variety of shapes as well as the diversity of applications there does not exist any single method for computing the shape orientation of all shapes. In this paper, we introduce a new shape orientation measure, shape orientation pattern, to find the crisp and fuzzy shape orientation as well as shape orientability from any shape. We also illustrate that the new shape orientation measure can be used as a RST invariant shape descriptor.
Keywords :
computational geometry; computer vision; fuzzy set theory; image recognition; shape recognition; RST invariant shape descriptor; computer vision; fuzzy shape orientation; image processing; rotation-scale-translation invariant shape descriptor; shape orientation pattern recognition; Orientability; RST invariant descriptor; orientation; shape orientation pattern;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2022567
