DocumentCode
1629757
Title
Threshold selection based on histogram modeling
Author
Sahoo, Prasanna K. ; Farag, Aly A. ; Yeap, Yuen-Pin
Author_Institution
Louisville Univ., KY, USA
fYear
1992
Firstpage
351
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-0720-8
Type
conf
DOI
10.1109/ICSMC.1992.271750
Filename
271750
Link To Document