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Intelligent Engineering Systems through Artificial Neural Networks

Editor
Cihan H. Dagli
Cihan H. Dagli
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K. Mark Bryden
K. Mark Bryden
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Steven M. Corns
Steven M. Corns
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Mitsuo Gen
Mitsuo Gen
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Kagan Tumer
Kagan Tumer
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Gürsel Süer
Gürsel Süer
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ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

Moments have been widely used for creating invariant features for image classification and object recognition problems. In this study, different moments that are extracted from a database of 1200 images are used for object classification. The images are obtained from 10 different objects, each of which had 120 images that are rotated in different angles with different lighting conditions. For performance analysis, geometric invariant moments, Zernike moments, Pseudo- Zernike moments, Tchebichef moments and statistical features of the objects are extracted from each image. 800 of the images (80 images from each object) were used in training and the remaining 400...

Abstract
Introduction
Feature Extraction Methods
Classification Systems
Experimental Results
Conclusions
References
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