Title :
Color model selection for underwater object recognition
Author :
Dalei Song ; Weicheng Sun ; Zehui Ji ; Guojia Hou ; Xiufang Li ; Liang Liu
Author_Institution :
Coll. of Eng., Ocean Univ. of China, Qingdao, China
Abstract :
In this paper, the characteristics of underwater image and the importance of color features in underwater object recognition are presented. Classical illumination invariant color models are analyzed. Our goal is to study and evaluate the various color models in underwater object recognition applications. The illumination invariant color models yuv, c1c2c3, HSy, rSc2 and uSb are applied to carry out comparison experimental tests and the traditional primary colors of underwater targets are selected as object identification. The experiment object images with different illumination intensities are captured by a color video camera equipped in the underwater robotics. The comparison experimental results demonstrate that the yuv and uSb color model achieve high ART (Average Recognition Rate) and lower ERT (Error Recognition Rate).
Keywords :
image colour analysis; mobile robots; object recognition; underwater vehicles; video cameras; average recognition rate; color features; color model selection; color video camera; error recognition rate; illumination intensity; illumination invariant color models; lower ERT; object identification; object images; underwater image; underwater object recognition; underwater robotics; underwater targets; Computational modeling; Image color analysis; Image recognition; Lighting; Mathematical model; Object recognition; Robots; color model; illumination invariant; primary colors; underwater object recognition;
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
DOI :
10.1109/InfoSEEE.2014.6947890
