Title :
The ship target detection based on panoramic images
Author :
Wenkun Bian ; Qidan Zhu
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
Combing with the characteristics of sea-sky-line in panoramic image and a complicated sea-sky background, a sea-sky-line extraction algorithm for panoramic image and a ship target detection method around sea-sky-line was proposed. Firstly, an improved canny edge detection method based on partition adaptive threshold was used. Then after edge thining, the sea-sky-line edge extraction algorithm was proposed based on the longest curve method and the ellipse fitting was performed to get the sea-sky-line elliptic equation. Finally, the ship target on sea-sky-line detection method was introduced based on the sea-sky-line elliptic equation . The experimental results prove that this method can effectively detect the sea-sky-line under complex sea-sky background.
Keywords :
edge detection; elliptic equations; object detection; ships; canny edge detection method; edge thining; ellipse fitting; longest curve method; panoramic image; partition adaptive threshold; sea-sky background; sea-sky-line detection method; sea-sky-line edge extraction algorithm; sea-sky-line elliptic equation; sea-sky-line extraction algorithm; ship target detection method; Bismuth; Cameras; Image edge detection; Marine vehicles; Object detection; Partitioning algorithms; edge detection; panoramic image; sea-sky-line extraction; ship target detection;
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
DOI :
10.1109/ICMA.2015.7237862