Title :
Computing local minima and maxima of digital images in pipeline image processing systems equipped with hardware comparators
Author :
Dinstein, I. ; Fong-Lochovsky, A.C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben Gurion Univ. of Negev, Beer Sheva, Israel
fDate :
3/1/1988 12:00:00 AM
Abstract :
An efficient technique is presented for computing minima (maxima) values of gray levels of pixels within rectangular windows. It is suitable for pipeline image processing systems having processors equipped with hardware comparators. The complexity of computing the minima and/or maxima of gray levels within M×N windows is determined
Keywords :
computerised picture processing; pipeline processing; digital images; gray levels; hardware comparators; local maxima; local minima; pipeline image processing systems; pixels; rectangular windows; Digital images; Floors; Hardware; Head; Image processing; Inspection; Object detection; Pipelines; Pixel; Transistors;
Journal_Title :
Proceedings of the IEEE
