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ModelBased Shape Recognition Using Recursive Mathematical Morphology Michael Schauf, Selim Aksoy, Robert M. Haralick
 

Summary: Model­Based Shape Recognition Using Recursive Mathematical Morphology
Michael Schauf, Selim Aksoy, Robert M. Haralick
Intelligent Systems Laboratory
Department of Electrical Engineering
University of Washington
Seattle, WA, 98195­2500
fmschauf,aksoy,haralickg@isl.ee.washington.edu
Abstract
This paper introduces a size invariant method to recog­
nize two­dimensional binary shapes using the recursive ero­
sion transform. Using recursive morphology with multiple
structuring elements, the method takes constant time per
pixel regardless of the scale of the shape model, and also
works on noisy images without requiring noise removal.
Results from experiments on 100 noisy images show the
methodology is able to detect every shape model's scale and
position with 13 false alarms and five misdetections out of
254 total translated and scaled models.
1. Introduction
The ultimate goal of binary shape recognition is to im­

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences