DocumentCode
319631
Title
Orientation selective hierarchical spatial filter using neural network
Author
Ryu, Dae-Hyun
Author_Institution
Electron. & Telecommun. Res. Inst., Taejon, South Korea
Volume
1
fYear
1997
fDate
4-4 Dec. 1997
Firstpage
371
Abstract
This paper describes a neural network which detects the edges of different orientation and spatial frequency in an image. The proposed neural network is useful for image analysis, feature extraction, and texture segmentation.
Keywords
edge detection; feature extraction; image segmentation; image texture; neural nets; spatial filters; edges; feature extraction; image analysis; neural network; orientation selective hierarchical spatial filter; spatial frequency; texture segmentation; Band pass filters; Brain modeling; Detectors; Diffusion processes; Feature extraction; Frequency; Image edge detection; Neural networks; Neurons; Spatial filters;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location
Brisbane, Qld., Australia
Print_ISBN
0-7803-4365-4
Type
conf
DOI
10.1109/TENCON.1997.647333
Filename
647333
Link To Document