Title :
A Detection Framework for Ship in Sea-Sky Background Based on Constrained Feature Points
Author :
Shihua Liang ; Wei Wu ; Changyan Chen ; Bo Li
Author_Institution :
Key Lab. of Fiber Opt. Sensing Technol. & Inf. Process., Wuhan Univ. of Technol., Wuhan, China
Abstract :
An automated scheme for sea-sky background ship segmentation is proposed. Feature points based on Harris operator are first calculated to extract the important information of the image, and then a constrained feature points methodology based on fractal theory is utilized in order to get the precise location of the ship. Finally region growing algorithm is used in the vicinity of the reserved feature points to segment the ship target from the sea-sky background. The proposed scheme is validated on a large number of sea-sky background images. It is shown to perform well to get the outline of the ship with little time.
Keywords :
feature extraction; fractals; image retrieval; image segmentation; object detection; ships; Harris operator; constrained feature points; fractal theory; image information extraction; region growing algorithm; reserved feature points; sea-sky background images; sea-sky background ship segmentation; ship detection framework; ship target segmentation; Algorithm design and analysis; Educational institutions; Feature extraction; Fractals; Image edge detection; Image segmentation; Marine vehicles; Fractal; Harris; Region growing; Ship segmentation;
Conference_Titel :
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-1-4673-4499-9
DOI :
10.1109/ICCECT.2012.14
