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Textural Features for Image Database Retrieval Selim Aksoy and Robert M. Haralick
 

Summary: Textural Features for Image Database Retrieval
Selim Aksoy and Robert M. Haralick
Intelligent Systems Laboratory
Department of Electrical Engineering
University of Washington
Seattle, WA 98195-2500
{aksoy,haralick}@@isl.ee.washington.edu
Abstract
This paper presents two feature extraction methods and
two decision methods to retrieve images having some sec-
tion in them that is like the user input image. The features
used are variances of gray level co-occurrences and line-
angle-ratio statistics constituted by a 2-D histogram of an-
gles between two intersecting lines and ratio of mean gray
levels inside and outside the regions spanned by those an-
gles.
The decision method involves associating with any pair
of images either the class "relevant" or "irrelevant". A
Gaussian classifier and nearest neighbor classifier are
used. A protocol that translates a frame throughout ev-

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences