DocumentCode
2605768
Title
A research on stereo matching algorithm for underwater image
Author
Wang, Huibin ; Sun, Hongye ; Shen, Jie ; Chen, Zhe
Author_Institution
Coll. of Comput. & Inf., Hohai Univ., Nanjing, China
Volume
2
fYear
2011
fDate
15-17 Oct. 2011
Firstpage
850
Lastpage
854
Abstract
To realize the accuracy and stability of the underwater binocular image matching, this paper design a stereo matching algorithm based on Harris corner detection. Firstly, apply median and homomorphic filtering for underwater stereo image preprocessing to minimize noise and enhance image contrast. Secondly, apply the corner feature extraction and matching method based on Harris for obtaining the characteristic information of underwater target. And then apply the constraint condition to eliminate the error matched points, so as to improve the underwater image matching stability. Finally, the experiments verify the algorithm proposed in this paper, and the experimental results have shown the effectiveness of this algorithm.
Keywords
edge detection; feature extraction; image denoising; image enhancement; image matching; stereo image processing; Harris corner detection; corner feature extraction; homomorphic filtering; image contrast enhancement; noise minimization; stereo matching algorithm; underwater binocular image matching; underwater stereo image preprocessing; underwater target; Algorithm design and analysis; Feature extraction; Geometry; Image matching; Matched filters; Noise; corner detection; feature extraction; stereo matching; underwater image;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-9304-3
Type
conf
DOI
10.1109/CISP.2011.6100367
Filename
6100367
Link To Document