DocumentCode
1562684
Title
Using multi-layer morphological neural network for color images retrieval
Author
Yun, Zhang ; Ling, Zhang ; Yang Yimin
Author_Institution
Autom. Inst., Guangdong Univ. of Technol., Guangzhou, China
Volume
5
fYear
2004
Firstpage
4117
Abstract
This paper presents a new way to retrieve color images based on their shape with a multi-layer morphological (MLM) neural network. Using MLM NN based on Species Genetic Algorithm(SGA), the shape feature of the objects in color images is caught for retrieval based on shape match. The following simulation results show that the shape feature caught by SGA is more accurate than by GA, and is more insensitive to objects´ size and orientation.
Keywords
genetic algorithms; image colour analysis; image retrieval; multilayer perceptrons; color images retrieval; multilayer morphological neural network; objects shape feature; species genetic algorithm; Color; Feedforward neural networks; Image retrieval; Mathematical model; Morphology; Multi-layer neural network; Neural networks; Neurons; Shape; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1342277
Filename
1342277
Link To Document