Title :
Real-time thresholding technique
Author :
Hassan, Mai H. ; Siy, P.
Author_Institution :
Wayne State University, Department of Electrical & Computer Engineering, Detroit, USA
Abstract :
A real-time thresholding technique is presented. The technique depends on a simple RC integrator circuit where the input is a pulse train representing the image´s grey level values and the output is the approximated estimate of the threshold values. The technique can handle noise-free and noisy images.
Keywords :
picture processing; R C integrator circuit; grey level values; noise-free images; noisy images; picture processing; pulse train; real-time thresholding technique;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19870251
