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
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;
Journal_Title :
Proceedings of the IEEE
