Share Email Print

Optical Engineering

Shape detection based on mathematical morphology
Author(s): Li Yu; Runsheng Wang; Fangjian Han
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A novel algorithm for shape detection based on mathematical morphology is presented. Two stages are involved. In the first stage, a shape model is learned automatically from learning examples belonging to the same object class. It is a collection of subparts with the description of relations among subparts, represented by a fuzzy graph. In the second stage, the generated model is used to detect similar shapes from images of complex real scenes. Subparts of the shape are detected in sequence based on their saliency, and then the geometric configuration among those detected subparts is checked. A morphological component detector is proposed to detect each subpart by using a soft structuring element, derived from the shape model. Satisfactory results are shown when testing the algorithm on synthetic and real images.

Paper Details

Date Published: 1 December 2005
PDF: 7 pages
Opt. Eng. 44(12) 127203 doi: 10.1117/1.2148995
Published in: Optical Engineering Volume 44, Issue 12
Show Author Affiliations
Li Yu, National Univ. of Defense Technology (China)
Runsheng Wang, National Univ. of Defense Technology (China)
Fangjian Han, National Univ. of Defense Technology (China)

© SPIE. Terms of Use
Back to Top