evaluation of dissimilarity measures for image retrieval and classification

نویسندگان

fateme geran gharakhili

mohammad hakkak

abbas mohammadi

چکیده

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic groups, based on color histogram, directional edge histogram and gabor features are presented and discussed

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» research note « evaluation of dissimilarity measures for image retrieval and classification

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

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عنوان ژورنال:
the modares journal of electrical engineering

ناشر: tarbiat modares university

ISSN 2228-527 X

دوره 5

شماره 1 2006

میزبانی شده توسط پلتفرم ابری doprax.com

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