Title :
Threshold selection based on histogram modeling
Author :
Sahoo, Prasanna K. ; Farag, Aly A. ; Yeap, Yuen-Pin
Author_Institution :
Louisville Univ., KY, USA
Abstract :
This research is concerned with modeling the gray-level probability density function of the image and then using it to select optimal threshold values. Image histogram modeling by kernel density estimation is considered. The main goal is to model the histogram properly. A number of analytic techniques for threshold selection are discussed and empirically evaluated on test as well as real-world scenes
Keywords :
image processing; gray-level probability density function; histogram modeling; kernel density estimation; optimal threshold values; threshold selection; Computer science; Density functional theory; Digital images; Histograms; Image segmentation; Kernel; Mathematics; Pixel; Probability density function; Statistical analysis;
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
DOI :
10.1109/ICSMC.1992.271750
