DocumentCode
3252491
Title
Image segmentation using multilayer neural network
Author
Malki, Heidar A.
Author_Institution
Houston Univ., TX, USA
Volume
4
fYear
1992
fDate
7-11 Jun 1992
Firstpage
354
Abstract
An image segmentation method based on multilayer neural networks is introduced. This method was applied to both the aerial and texture images. The performance of this method on a synthetic image is compared to a model based image segmentation technique. Simulation results on both aerial and texture images are provided. A method to extract important features of the image before the training is proposed
Keywords
feedforward neural nets; image segmentation; image texture; aerial images; backpropagation; feature extraction; image segmentation; multilayer neural networks; synthetic image; texture images; Costs; Feature extraction; Formal languages; Image segmentation; Image texture analysis; Multi-layer neural network; Neural networks; Parameter estimation; Robustness; Signal detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.227319
Filename
227319
Link To Document