Title :
Orientation selective hierarchical spatial filter using neural network
Author_Institution :
Electron. & Telecommun. Res. Inst., Taejon, South Korea
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;
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
DOI :
10.1109/TENCON.1997.647333
