Open AccessImage Processing of Large-Scale Pollution on Water
Author(s) -
Qianqian Zhao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/4/042019
Subject(s) - artificial intelligence , image segmentation , segmentation , computer vision , morphological gradient , computer science , region growing , image processing , scale (ratio) , image (mathematics) , scale space segmentation , pattern recognition (psychology) , geography , cartography
In order to improve the monitoring of water surface environment, the image processing of large-scale water pollution is proposed. First, UAV was used to take aerial photos of the area to be cleaned on the water, and the obtained image was preprocessed with saturation enhancement, etc. Then the image was segmented into image segmentation or edge detection to distinguish the foreground from the background. This experiment used three widely used segmentation methods to process the selected aerial image. The three methods are: threshold segmentation, region-based segmentation and morphological gradient detection.