Segmentation of River Scenes Based on Water Surface Reflection Mechanism

Segmentation of a river scene is a representative case of complex image segmentation. Different from road segmentation, river scenes often have unstructured boundaries and contain complex light and shadow on the water’s surface. According to the imaging mechanism of water pixels, this paper designed...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2020-04, Vol.10 (7), p.2471
Main Authors: Yu, Jie, Lin, Youxin, Zhu, Yanni, Xu, Wenxin, Hou, Dibo, Huang, Pingjie, Zhang, Guangxin
Format: Article
Language:English
Subjects:
hand-designed image descriptors
hue variance
local binary pattern
river scene segmentation
surface reflection
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Segmentation of a river scene is a representative case of complex image segmentation. Different from road segmentation, river scenes often have unstructured boundaries and contain complex light and shadow on the water’s surface. According to the imaging mechanism of water pixels, this paper designed a water description feature based on a multi-block local binary pattern (MB-LBP) and Hue variance in HSI color space to detect the water region in the image. The improved Local Binary Pattern (LBP) feature was used to recognize the water region and the local texture descriptor in HSI color space using Hue variance was used to detect the shadow area of the river surface. Tested on two data sets including simple and complex river scenes, the proposed method has better segmentation performance and consumes less time than those of two other widely used methods.
ISSN:2076-3417
2076-3417
DOI:10.3390/app10072471