Record Details

Unstructured object recognition using morphological learning

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Unstructured object recognition using morphological learning
 
Creator KAR, S
CHANDRAN, S
 
Subject edge-detection
object recognition
learning algorithm
morphological learning
unstructured object
gray structuring element
geometric structure
surface imperfections
 
Description A technique of object recognition which can detect absence or presence of objects of interest without making explicit use of their underlying geometric structure is deemed suitable for many practical applications. In this work, a method of recognising unstructured objects has been presented, wherein several gray patterns are input as examples to a morphological rule-based learning algorithm. The output of the algorithm are the corresponding gray structuring elements capable of recognising patterns in query images. The learning is carried out offline before recognition of the queries. The technique has been tested to identify fuel pellet surface imperfections. Robustness wrt intensity, orientation, and shape variations of the query patterns is built into the method. Moreover, simplicity of the recognition process leading to reduced computational time makes the method attractive to solve many practical problems.
 
Publisher DEFENCE SCIENTIFIC INFORMATION DOCUMENTATION CENTRE
 
Date 2011-07-21T08:39:30Z
2011-12-26T12:51:58Z
2011-12-27T05:38:50Z
2011-07-21T08:39:30Z
2011-12-26T12:51:58Z
2011-12-27T05:38:50Z
2002
 
Type Article
 
Identifier DEFENCE SCIENCE JOURNAL, 52(3), 261-275
0011-748X
http://dspace.library.iitb.ac.in/xmlui/handle/10054/5851
http://hdl.handle.net/10054/5851
 
Language en