new fast fuzzy method for query region extraction in color images

Publish Year: 1383
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ACCSI10_008

تاریخ نمایه سازی: 25 آذر 1390

Abstract:

finding the region similar to a given query region has many applications incomputer vision and computer graphics the first step towards an efficient query region extraction is to have a proper likelihood measure this issue has been neglected in the computer vision community and the researchers commonly used the euclidean distance for query region extraction in some standard color spaces in this paper we analyze the performance of the euclidean distancein 12 standard color spaces each one examined in 7 distinct possible representations. also we investigate the mahalanobis distance and the linear partial reconstruction error LPRE.

Authors

arash abadpour

sharif university of technology tehran