Content-Based Image Retrieval Using Color, Texture and Shape Features

Content-Based Image Retrieval Using Color, Texture and Shape Features

Bibliographic Details
Parent link:Key Engineering Materials: Scientific Journal
Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 872-876]
Corporate Authors: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС), Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра оптимизации систем управления (ОСУ)
Other Authors: Ponomarev A. A. Aleksey Anatolievich, Nalamvar H. S. Hitesh Sanzhay, Babakov I., Parkhi C. S., Buddhawar G.
Summary:Title screen
Nowadays CBIR is getting more and more attention from organizations and researchers due to advances in digital imaging techniques. A lot of interest is getting paid to search images from large databases, as it is not only difficult and time-consuming task but sometimes frustrating for the users. This paper proposes the CBIR system based on color, texture and shape features. The proposed method employs the use of DCT and DWT along with Hierarchical k-means algorithm for faster retrieval of images. The efficiency of the given method is demonstrated by the results in the paper.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2016
Series:Information Technology, Data and Signal Processing
Subjects:
электронный ресурс
труды учёных ТПУ
дискретные преобразования
вейвлет-преобразования
фильтрация
цифровые технологии
обработка
изображения
Online Access:http://dx.doi.org/10.4028/www.scientific.net/KEM.685.872
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646558

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