Weld Defect Classification Using Polar Radius Signature And Neural Network

Weld Defect Classification Using Polar Radius Signature And Neural Network

An automatic defect classification system was developed in this research using simulated image database and polar radius signature and neural network classifier to identify different types of defect in radiographic images of welds. Programs were developed by using Languange C to obtain polar r...

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Bibliographic Details
Main Author: Teow, Soo Pei
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2005
Subjects:
T Technology
TJ Mechanical engineering and machinery
Online Access:http://eprints.usm.my/58207/
http://eprints.usm.my/58207/1/Weld%20Defect%20Classification%20Using%20Polar%20Radius%20Signature%20And%20Neural%20Network_Teow%20Soo%20Pei.pdf

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