Abstract
Abstract
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.
Subject
General Physics and Astronomy
Reference6 articles.
1. Research on Identification Technology of UAV’sEnviron-mental Pollution Target based on Deep Learning;Wu;Environmental Science and Management,2018
2. A Survey on Color Image Segmentation Techniques;Lin;Journal of Image and Graphics,2005
3. An adaptive thresholdingalgorithm based on grayscale wave transformation forindustrial inspection images;Wei;Acta AutomaticaSinica,2011
4. Fast matching algorithm based on imagegray value;Li;Journal of Software,2006
5. Picture segmentation using arecursive region splitting method;Ohlander;Computer Graphics and ImageProcessing,1978