doi:10.16186/j.cnki.1673-9787.2020.3.15

Received:2019/06/13

Revised:2019/08/19

Published:2020/05/15

Overlapping intensity order-based curve descriptor

JIANG Yan, WANG Jing, LIU Hongmin

College of Computer Science and Technology， Henan Polytechnic University， Jiaozuo 454000 ，Henan， China

Abstract:To solve the problem that instability of sub-region division caused by existing intensity order methods ，based on intensity order mean-standard deviation descriptor （IOMSD ） and intensity order curve descriptor （IOCD ） ， two curve descriptors OIOMSD and OIOCD were proposed by introducing the idea of overlapping intensity order. Different from traditional descriptors whose sub-regions division was not overlapped， original subregions were firstly partitioned according to the intensity order of all pixel points in the image local region， then each sub-region and the next one are partial overlapped to form final sub-regions. This method not only overcame the boundary error caused by the fixed shape sub-regions， but also could solve the influence of noise and non-monotonic illumination on the sub-region boundary points. Experimental results showed that OIOMSD and OIOCD had robust performance under image rotation， viewpoint change， noise and illumination change. Moreover， the matching performance of OIOCD under non-monotonic illumination images was better than IOCD.

Key words:intensity order mean-standard deviation descriptor;intensity order curve descriptor;curve matching;overlapping intensity order

基于重叠亮度序的曲线描述子_江燕.pdf