» research note « evaluation of dissimilarity measures for image retrieval and classification
نویسندگان
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.
منابع مشابه
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 engineeringناشر: tarbiat modares university
ISSN 2228-527 X
دوره 5
شماره 1 2006
میزبانی شده توسط پلتفرم ابری doprax.com
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