DocumentCode
706202
Title
A probabilistic shading invariant color distance measure
Author
Wesolkowski, Slawo ; Fieguth, Paul
Author_Institution
DRDC, Ottawa, ON, Canada
fYear
2007
fDate
3-7 Sept. 2007
Firstpage
1907
Lastpage
1911
Abstract
We develop a probabilistic color distance measure based on hypothesis testing in order to achieve shading invariance in image segmentation. We derive this new color distance measure based on the Dichromatic Reflection Model and noise statistics. We show preliminary results of using the new semi-metric in a color image segmentation task to show its effectiveness.
Keywords
image colour analysis; image segmentation; probability; Dichromatic reflection model; color image segmentation task; hypothesis testing; noise statistics; probabilistic shading invariant color distance measure; Color; Colored noise; Euclidean distance; Image color analysis; Image segmentation; Probabilistic logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2007 15th European
Conference_Location
Poznan
Print_ISBN
978-839-2134-04-6
Type
conf
Filename
7099139
Link To Document