NDLI: A contextual classifier that only requires one prototype pixel for each class

Content Provider	IEEE Xplore Digital Library
Author	Maletti, G. Ersboll, B. Conradsen, K.
Copyright Year	2002
Description	Author affiliation: Sect. for Image Anal. & Comput. Graphics, Informatics & Math. Modelling (IMM), Tech. Univ. Denmark, Lyngby, Denmark (Maletti, G.; Ersboll, B.; Conradsen, K.)
Abstract	A three stage scheme for classification of multi-spectral images is proposed. In each stage, statistics of each class present in the image are estimated. The user is required to provide only one prototype pixel for each class to be seeded into a homogeneous region. The algorithm starts by generating optimum initial training sets, one for each class, maximizing the redundancy in the data sets. These sets are the realizations of the maximal discs centered on the prototype pixels for which it is true that all the elements belong to the same class as the center one. Afterwards a region growing algorithm increases the sample size providing more statistically valid samples of the classes. Final classification of each pixel is done by comparison of the statistical behavior of the neighborhood of each pixel with the statistical behavior of the classes. A critical sample size obtained from a model constructed with experimental data is used in this stage. The algorithm was tested with the Kappa coefficient k on synthetical images and compared with K-means (k~=0.41) and a similar scheme that uses spectral means (k~=0.75) instead of histograms (k~=0.90). Results are shown on a dermatological image with a malignant melanoma.
Starting Page	1385
Ending Page	1389
File Size	1902655
Page Count	5
File Format	PDF
ISBN	0780373243
ISSN	10823654
DOI	10.1109/NSSMIC.2001.1008595
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prototypes Pixel Image analysis Convolution Multispectral imaging Statistics Testing Histograms Cancer Malignant tumors
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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