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JCR 2016
جستجوی مقالات
شنبه 22 آذر 1404
Iranian Journal of Electrical and Electronic Engineering
، جلد ۱۴، شماره ۲، صفحات ۱۵۳-۱۶۱
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Image Retrieval Using Dynamic Weighting of Compressed High Level Features Framework with LER Matrix
چکیده انگلیسی مقاله
In this article, a fabulous method for database retrieval is proposed. The multi-resolution modified wavelet transform for each of image is computed and the standard deviation and average are utilized as the textural features. Then, the proposed modified bit-based color histogram and edge detectors were utilized to define the high level features. A feedback-based dynamic weighting of shape, color and textural features composition produce a resistant feature vectors for image retrieval and recall. A comprehensive and unified matching scheme based on matrix error rate technique was accomplished for similarity of image and retrieval procedure. The feature vectors size in our algorithm is the least one evaluated to the different techniques. Furthermore, the calculation time of previously published techniques is much more than the presented algorithm which is a benefit in proposed retrieval method. The experimental results illustrates that novel algorithm obtains more precious in retrieval and the efficiency in evaluating with the other techniques and algorithms at Corel color image database.
کلیدواژههای انگلیسی مقاله
نویسندگان مقاله
| S. Tannaz
Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
Islamic Azad University
| T. Sedghi
Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
Islamic Azad University
نشانی اینترنتی
http://ijeee.iust.ac.ir/browse.php?a_code=A-10-2363-1&slc_lang=en&sid=1
فایل مقاله
اشکال در دسترسی به فایل - ./files/site1/rds_journals/446/article-446-639741.pdf
کد مقاله (doi)
زبان مقاله منتشر شده
en
موضوعات مقاله منتشر شده
6-ArtificialIntelligence
نوع مقاله منتشر شده
Research Paper
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