DocumentCode
3151324
Title
The properties and training of a neural network based universal window filter (UWF)
Author
Pugmire, R.H. ; Hodgson, R.M. ; Chaplin, R.I.
Author_Institution
Dept. of Production Technol., Massey Univ., Palmerston North, New Zealand
fYear
1995
fDate
4-6 Jul 1995
Firstpage
642
Lastpage
646
Abstract
Window filters are extensively used in image processing for reducing noise, enhancing contrast, edge detection and other pre-processing operations. This paper describes the development of a general purpose filter. The performance of the filter on simple emulation tasks, and the subsequent development of improved training methods based on an analogy to the task of training people to perform complex tasks
Keywords
backpropagation; edge detection; filtering theory; image processing; neural nets; backpropagation; complex tasks; contrast enhancement; edge detection; emulation tasks; general purpose filter; image processing; neural network training; noise reduction; people training; pre-processing operations; training methods; universal window filter;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location
Edinburgh
Print_ISBN
0-85296-642-3
Type
conf
DOI
10.1049/cp:19950738
Filename
465470
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