DocumentCode
938598
Title
Thresholding based on learning theory
Author
Hassan, M.H. ; Siy, P.
Author_Institution
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
Volume
76
Issue
10
fYear
1988
Firstpage
1379
Lastpage
1381
Abstract
Learning theory is applied to real-time thresholding of gray-level images on a line-by-line basis. With this approach, each scan line becomes an isolated entity and a dynamic threshold value for each pixel is iteratively calculated while scanning. The approach works with horizontal or vertical scanning. The locations of objects in the image may also be identified while thresholding. This approach can be used to develop fast real-time algorithms suitable for hardware implementation.<>
Keywords
learning systems; picture processing; dynamic threshold value; fast real-time algorithms; gray-level images; horizontal scanning; learning theory; real-time thresholding; scan line; vertical scanning; Adaptive control; Application software; Coprocessors; Hardware; Mathematical model; Microcomputers; Poles and zeros; Prototypes; Psychology; Transfer functions;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/5.16337
Filename
16337
Link To Document