A medical image retrieval method based on texture block coding tree

作者：

Highlights：

•

• A new medical image retrieval model is presented based on an iterative block coding tree.

• A binary code based texture similarity matching framework is proposed.

• This matching framework is of high tolerance to textures with breakpoints and slight shifts.

• A multi-level index structure is proposed to enhance the efficiency of the retrieval model.

摘要

•A new medical image retrieval model is presented based on an iterative block coding tree.•A binary code based texture similarity matching framework is proposed.•This matching framework is of high tolerance to textures with breakpoints and slight shifts.•A multi-level index structure is proposed to enhance the efficiency of the retrieval model.

论文关键词：Content-based image retrieval (CBIR),Texture block coding,Image processing,Medical image

论文评审过程：Received 13 January 2017, Revised 6 June 2017, Accepted 26 June 2017, Available online 8 July 2017, Version of Record 7 November 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.06.013