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Image Annotation using Moments and Multilayer Neural Networks

IJCA Special Issue on Software Engineering, Databases and Expert Systems
© 2012 by IJCA Journal
SEDEX - Number 1
Year of Publication: 2012
Mustapha Oujaoura
Brahim Minaoui
Mohammed Fakir

Mustapha Oujaoura, Brahim Minaoui and Mohammed Fakir. Article: Image Annotation using Moments and Multilayer Neural Networks. IJCA Special Issue on Software Engineering, Databases and Expert Systems SEDEX(1):46-55, September 2012. Full text available. BibTeX

	author = {Mustapha Oujaoura and Brahim Minaoui and Mohammed Fakir},
	title = {Article: Image Annotation using Moments and Multilayer Neural Networks},
	journal = {IJCA Special Issue on Software Engineering, Databases and Expert Systems},
	year = {2012},
	volume = {SEDEX},
	number = {1},
	pages = {46-55},
	month = {September},
	note = {Full text available}


This document presents a system in order to annotate image content by using the region growing segmentation, as a method to separate different objects within an image, and the multilayer neural network to classify these objects and to find the appropriate keywords for them. In many applications, different kinds of moments have been used as features to classify the images and objects' shapes. The Hu moments, Legendre moments and Zernike moments are used, in this paper, as features to describe an image. The experiments are done through using ETH-80 database images.


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