SPECTRAL ALGORITHM FOR CONTENT-BASED IMAGE RETRIEVAL

المؤلفون

  • Hanan A. Al-Jubouri Computer Engineering Department, Mustansiriyah University, Baghdad, Iraq مؤلف
  • Sawsan M. Mahmmod Computer Engineering Department, Mustansiriyah University, Baghdad, Iraq مؤلف

DOI:

https://doi.org/10.31272/jeasd.24.5.6

الكلمات المفتاحية:

Content-Based Image Retrieval، Local Binary Pattern، Discrete Cosine Transform، data-level fusion، score-level fusion

الملخص

Colour images are rich in visual information. The process of searching for the most similar images in large-scale database based on visual features of query image is still a challenge in Content-Based Image Retrieval (CBIR) due to a semantic gap issue. In this paper, we proposed a fusing retrieval method to diminish the gap between high-level and low-level meanings by involving two aspects. The first aspect is increasing the effectiveness of image representation. Hence, data-level fusion features were suggested, a local feature from Discrete Cosine Transform (DCT) and Local Binary Patterns (LBP) in frequency and spatial domains respectively that was applied by a spectral clustering algorithm (graph-based) in addition to a global weighted LBP feature. The second aspect is fusing multiple retrieved similarity measures (scores/evidences) obtained from above global (LBP) and local features (DCTLBP) in terms of score-level fusion. The method is evaluated in WANG standard publically dataset.

التنزيلات

Key Dates

منشور

2020-09-01

إصدار

مجلد 24 عدد 5 (2020): Journal of Engineering and Sustainable Development

القسم

Articles

الرخصة

Creative Commons License

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The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
Creative Commons-Attribution (BY)

كيفية الاقتباس

SPECTRAL ALGORITHM FOR CONTENT-BASED IMAGE RETRIEVAL. (2020). مجلة الهندسة والتنمية المستدامة, 24(5), 37-49. https://doi.org/10.31272/jeasd.24.5.6

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