Open AccessProperty‐based shadow detection and removal method for licence plate image
Author(s) -
Gao Fei,
Xu Yunjing,
Ge Yisu,
Lu Shufang,
Zhang Yuanming
Publication year - 2020
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2018.5660
Subject(s) - shadow (psychology) , computer vision , artificial intelligence , computer science , property (philosophy) , enhanced data rates for gsm evolution , shadow mask , filter (signal processing) , shadow mapping , channel (broadcasting) , edge detection , image (mathematics) , image processing , telecommunications , computer graphics (images) , psychology , philosophy , epistemology , psychotherapist
Shadow detection and removal is a classic research in the field of image processing. This work aims to address the problem of shadow detection and removal for licence plate. The shadow detection and removal method based on inherent properties of licence plate is presented in this study. First, an S–V‐channel‐property‐based shadow detection algorithm is investigated to extract the background‐shaded area of licence plate. Afterwards, a shadow edge location algorithm is proposed to detect the complete shadow edge. Then, the shadow is removed on H, S, and V channels with different strategies, respectively. Also, a filter‐based median filtering algorithm is employed to remove the pseudo‐edge. Finally, the proposed method is verified through comparing with other generic shadow detection and removal methods quantitatively and qualitatively.