DocumentCode
2605302
Title
The Classification Gradient
Author
Kovalev, Vassili A. ; Petrou, Maria
Author_Institution
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford
Volume
3
fYear
0
fDate
0-0 0
Firstpage
830
Lastpage
833
Abstract
We propose a method that uses bootstraping to classify the pixels in the two halves of a sliding window, assuming that if there is a real image boundary separating the two halves, the pixels in the two halves will be classified in two separate classes. The accuracy of the classification is used as a local "gradient". High values of this gradient allow us to detect weak statistical borders in 2D and 3D images
Keywords
image classification; bootstraping; classification accuracy; classification gradient; real image boundary; sliding window; weak statistical borders detection; Computed tomography; Educational institutions; Higher order statistics; Histograms; Humans; Lungs; Pixel; Signal processing; Speech processing; Tumors;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.1116
Filename
1699654
Link To Document