Illumination-insensitive image representation via synergistic weighted center-surround receptive field model and weber law

作者：

Highlights：

• A novel illumination-insensitive texture feature descriptor (Weber synergistic center-surround pattern) is presented.

• We model differential synergistic excitation pattern, synergistic straight orientation pattern and synergistic diagonal orientation pattern.

• We discuss different scale and direction weighted coefficients in detail.

• We mine higher order spatial information of weighted WSCP.

摘要

•A novel illumination-insensitive texture feature descriptor (Weber synergistic center-surround pattern) is presented.•We model differential synergistic excitation pattern, synergistic straight orientation pattern and synergistic diagonal orientation pattern.•We discuss different scale and direction weighted coefficients in detail.•We mine higher order spatial information of weighted WSCP.

论文关键词：Feature extraction,Weber's law,Measurement model,Illumination-insensitive

论文评审过程：Received 19 June 2016, Revised 19 December 2016, Accepted 9 April 2017, Available online 13 April 2017, Version of Record 25 April 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.04.010