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利用网络摄像头图像和 CIELUV 检测海滩上有色大塑料碎片的新技术

A new technique for detecting colored macro plastic debris on beaches using webcam images and CIELUV.

机构信息

Coastal Zone Systems Division, Coastal, Marine and Disaster Prevention Department, National Institute for Land and Infrastructure Management, 3-1-1 Nagase, Yokosuka, Kanagawa 239-0826, Japan.

出版信息

Mar Pollut Bull. 2012 Sep;64(9):1829-36. doi: 10.1016/j.marpolbul.2012.06.006. Epub 2012 Jun 28.

DOI:10.1016/j.marpolbul.2012.06.006
PMID:22748840
Abstract

We have developed a technique for detecting the pixels of colored macro plastic debris (plastic pixels) using photographs taken by a webcam installed on Sodenohama beach, Tobishima Island, Japan. The technique involves generating color references using a uniform color space (CIELUV) to detect plastic pixels and removing misdetected pixels by applying a composite image method. This technique demonstrated superior performance in terms of detecting plastic pixels of various colors compared to the previous method which used the lightness values in the CIELUV color space. We also obtained a 10-month time series of the quantity of plastic debris by combining a projective transformation with this technique. By sequential monitoring of plastic debris quantity using webcams, it is possible to clean up beaches systematically, to clarify the transportation processes of plastic debris in oceans and coastal seas and to estimate accumulation rates on beaches.

摘要

我们开发了一种使用安装在日本鸟岛佐渡半岛所滨沙滩上的网络摄像头拍摄的照片来检测彩色大型塑料碎片(塑料像素)的技术。该技术涉及使用均匀颜色空间(CIELUV)生成颜色参考,以检测塑料像素,并通过应用复合图像方法去除误检像素。与先前使用 CIELUV 颜色空间中的亮度值的方法相比,该技术在检测各种颜色的塑料像素方面表现出优异的性能。我们还通过将这种技术与射影变换相结合,获得了长达 10 个月的塑料碎片数量的时间序列。通过使用网络摄像头对塑料碎片数量进行连续监测,可以有系统地清理沙滩,阐明海洋和沿海水域中塑料碎片的运输过程,并估计沙滩上的堆积率。

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