Rotation invariant textural feature extraction for image retrieval using eigen value analysis of intensity gradients and multi-resolution analysis

作者：

Highlights：

• Eigen value analysis of gradients for accurate principal texture direction.

• Rotation invariant feature extraction by aligning the principal texture direction.

• Independent existence of sub-band features in forming textural feature set.

• Robust and computationally efficient principal texture detection algorithm.

• Significant improvement of retrieval performance for anisotropic textures.

摘要

•Eigen value analysis of gradients for accurate principal texture direction.•Rotation invariant feature extraction by aligning the principal texture direction.•Independent existence of sub-band features in forming textural feature set.•Robust and computationally efficient principal texture detection algorithm.•Significant improvement of retrieval performance for anisotropic textures.

论文关键词：Content based image retrieval (CBIR),Principal texture direction,Discrete Wavelet Transform (DWT),Rotated Wavelet Filter (RWF),Dual Tree Complex Wavelet Transform (DT-CWT),Dual Tree Rotated Complex Wavelet Filter (DT-RCWF)

论文评审过程：Received 30 June 2012, Revised 2 April 2013, Accepted 24 May 2013, Available online 11 June 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.05.026