The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 28-600
Full Name: Kostadin Koroutchev
Position: Associate Professor
Age: ON
Sex: Male
Address: Escuela Politecnica de Informatica, Universidad Autonoma de Madrid, Madirid
Country: SPAIN
Tel: 91-497-3210
Tel prefix: +34
Fax: 0034-91-497-2235
E-mail address: k.koroutchev@uam.es
Other E-mails:
Title of the Paper: Fast Algorithm for Detecting the Most Unusual Part of 2d and 3d Digital Images. Application to Large Medical Databases.
Authors as they appear in the Paper: Kostadin Koroutchev and Elka Korutcheva
Email addresses of all the authors: k.koroutchev@uam.es, elka@fisfun.uned.es
Number of paper pages: 10
Abstract: In this paper we introduce a fast algorithm that can detect the most unusual part of a digital image. The most unusual part of a given shape is defined as a part of the image that has the maximal distance to all non intersecting shapes with the same form. The method is tested on two and three-dimensional images and have shown very good results without any predefined model. The results can be used to scan large image databases, as for example medical databases.
Keywords: Image processing, Image statistics, Image recognition
EXTENSION of the file: .pdf
Special (Invited) Session: Fast Algorithm for Detecting the Most Unusual Part of Digital Images with Application to Medical Databases
Organizer of the Session: 593-641
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