DocumentCode
1863051
Title
Image segmentation using histogram specification
Author
Thomas, Gabriel
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of Manitoba, MB
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
589
Lastpage
592
Abstract
Development of an accurate image segmentation algorithm can be the most demanding part of a computer vision system. There is not a panacean method that can work with several different types of images and a segmentation approach is usually designed for solving a specific problem. In this work, histogram specification is proposed in order to help the segmentation step in what was found to be a robust way regardless of the segmentation approach used. Semiautomatic algorithms for histogram specification are discussed. Examples using different segmentation techniques are shown.
Keywords
computer vision; image segmentation; statistical analysis; computer vision system; histogram specification; image segmentation; semiautomatic algorithm; Calibration; Computer vision; Filtering; Frequency; Histograms; Image segmentation; Magnetic resonance imaging; Matched filters; Robustness; Shape; Image segmentation; histogram filtering; histogram matching; histogram specification;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4711823
Filename
4711823
Link To Document