Title :
The fast image recognition based on grayscale features
Author :
Zhao, Hongluan ; Xu, Zunyi ; Han, Guoyong ; Xie, Deqin
Author_Institution :
Dept. of Comput. Sci. & Technol., Shandong Jianzhu Univ., Jinan, China
Abstract :
The gray image is generated according to the real-time depth value on transporter in underwater terrain auxiliary navigation. The accurate position is obtained by matching to the water depth map stored on the computer of the carrier. Thus, the image recognition is an important problem. An advanced matching method based on related pixel grayscale is put forward, which combines the rapidity of the sequential similarity methods (SSDA) and the high precision advantage of normalized product correlation image matching algorithm. Experimental results demonstrate the own advantage and availability, greatly decreasing the matching time.
Keywords :
correlation theory; feature extraction; geophysical image processing; image matching; image recognition; navigation; real-time systems; SSDA; advanced matching method; fast image recognition; gray image generation; grayscale features; pixel grayscale; product correlation image matching algorithm; real-time depth value; sequential similarity methods; underwater terrain auxiliary navigation; water depth map; Algorithm design and analysis; Computers; Correlation; Feature extraction; Image matching; Real time systems; Signal processing algorithms; Gray; SSDA; normalized product; recognition;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4673-0088-9
DOI :
10.1109/CSAE.2012.6273052
