Title :
Algorithm for automatic threshold determination for image segmentation
Author_Institution :
Dept. of Eng., Purdue Univ., Hammond, IN, USA
Abstract :
This paper presents a new algorithm for automatic determination of threshold for image segmentation. The algorithm is based on the histogram of extremum (maximum or minimum) gray levels in a collection of subimage areas. The image needs to be corrected for uneven illumination prior to the application of the algorithm. The algorithm was tested on a large class of images and performed well for all cases tested. The algorithm is robust, flexible, and computationally efficient
Keywords :
image segmentation; algorithm; automatic threshold determination; histogram; image segmentation; maximum gray levels; minimum gray levels; subimage areas; Automated highways; Automatic testing; Fatigue; Histograms; Image segmentation; Laplace equations; Lighting; Microorganisms; Performance evaluation; Robustness;
Conference_Titel :
Electrical and Computer Engineering, 1993. Canadian Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2416-1
DOI :
10.1109/CCECE.1993.332350