Title :
SSDA for Colored Target Based on Characteristic Differences
Author :
Sun, Ligong ; Li, Sujuan ; Zhang, Leiming ; Xiang, Fei
Author_Institution :
Electron. & Inf. Eng. Coll., Henan Univ. of Sci. & Technol., Luoyang, China
Abstract :
The paper proposes a sequential similarity detection algorithm (SSDA) for colored target based on characteristic differences. It analyzes basic SSDA, combines the characteristics of color, shape and size, then improves the SSDA. Experimental results show that the improved SSDA reduces the computational complexity, improves target identification accuracy, with better real-time.
Keywords :
computational complexity; image colour analysis; object detection; robot vision; visual servoing; SSDA algorithm; characteristic difference; color characteristics; colored target; computational complexity; robot visual servo control system; sequential similarity detection algorithm; shape characteristics; size characteristics; target identification; Cameras; Image color analysis; Image matching; Robot kinematics; Shape; Target recognition; SSDA; characteristic differences; image matching; weight coefficient;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.387
