Content-based texture image retrieval by histogram of curvelets


Uslu E. , Albayrak S.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, cilt.24, ss.2498-2512, 2016 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 24
  • Basım Tarihi: 2016
  • Doi Numarası: 10.3906/elk-1404-218
  • Dergi Adı: TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
  • Sayfa Sayıları: ss.2498-2512

Özet

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.