کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
528835 869613 2016 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Indexing and encoding based image feature representation with bin overlapped similarity measure for CBIR applications
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Indexing and encoding based image feature representation with bin overlapped similarity measure for CBIR applications
چکیده انگلیسی

In Content Based Image Retrieval (CBIR) system, the exhaustive search for a given query image to find the relevant images in the database are non-scalable. In this paper, we propose indexing, coding technique and similarity measure to address the above mentioned problem. We consider the color histogram of the image and its bin values are analyzed to understand the color information in the image. The histogram dimension is reduced by removing trivial bins and only those bins that represent color information significantly are considered. Based on the dimensions of the histogram, it is clustered and indexed. The Golomb–Rice (GR) coding is used to encode the indexed histograms. The Bin Overlapped Similarity Measure (BOSM) is proposed to compute the distance values between query and database image histograms. The performance of proposed approach is evaluated on benchmark datasets and found that the performance of the proposed approach is encouraging.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 36, April 2016, Pages 40–55
نویسندگان
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