收稿日期: 2016-12-29
网络出版日期: 2017-02-28
基金资助
国家自然科学基金资助项目(61403245); 上海市自然科学基金资助项目(13ZR1454300); 上海市科委能力建设资助项目(14500500400)
Sea-sky line detection based on structured forests edge detection and Hough transform
Received date: 2016-12-29
Online published: 2017-02-28
徐良玉1, 马录坤1, 谢燮1, 彭艳1, 彭艳青2, 崔建祥1 . 基于结构森林边缘检测和Hough变换的海天线检测[J]. 上海大学学报(自然科学版), 2017 , 23(1) : 47 -55 . DOI: 10.3969/j.issn.1007-2861.2016.07.018
The sea-sky line is an important feature in the sea-surface environment image, and detection of the sea-sky line is essential in dividing the sea and sky, and detecting the coastline area and objects. This paper provides a method to detect the sea-sky line using structured forests edge detection and Hough transform. The method uses a Gaussian low-pass filter to reduce the influence of regional textures such as wave texture and light reflection. A trained structured random decision forest is then used to label each pixel, and binarize it to determine whether it belongs to an edge or not. Hough transform is used to fit the sea-sky line more accurately. Experimental results show that this method can neglect clutter edge, greatly improve edge detection, and effectively extract sea-sky lines from a complicated sea-sky background with high robustness and accuracy.
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