Content-based texture image retrieval by histogram of curvelets


Uslu E. , Albayrak S.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, vol.24, pp.2498-2512, 2016 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24
  • Publication Date: 2016
  • Doi Number: 10.3906/elk-1404-218
  • Title of Journal : TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
  • Page Numbers: pp.2498-2512

Abstract

Curvelet decomposition is a multiscale analysis method defined for 2D and 3D signals that can represent curve-like features with great sparsity. A genuine method based on histograms of curvelets is proposed for content-based texture image retrieval. The accuracy of the method is analyzed for rotation invariance, curvelet scale-orientation size, and bin size. The results are given with precision-recall graphs. Experimental results on the Brodatz database show promising results for the proposed method compared to curvelet subband statistical features.