DocumentCode
3356839
Title
An illumination balance algorithm based on improved affine shadow formation model for underwater image
Author
Xinnan Fan ; Peng Wu ; Jianjun Ni ; Pengfei Shi
Author_Institution
Coll. of IOT Eng., Hohai Univ., Changzhou, China
Volume
2
fYear
2013
fDate
16-18 Dec. 2013
Firstpage
910
Lastpage
916
Abstract
The uneven illumination distribution in underwater visual inspection will lead to the difficulty of extracting texture features. The underwater image illumination balance while keeping the texture details has been one of the key issues in underwater visual inspection. Aimed at this problem, a novel illumination balance algorithm based on improved affine shadow formation model is proposed in this study. In the proposed approach, the linear spatial filter is used to obtain the light intensity distribution of an image, and the original image is divided into a series of small strips of pixels based on the light intensity distribution. Then the illumination balance of the image is carried out based on an improved affine shadow formation model. The experimental results show that the proposed approach can deal with the uneven illumination problem in underwater image, and keep the texture details effectively, which is very important for the subsequent processing and analysis for underwater images.
Keywords
feature extraction; filtering theory; image texture; lighting; improved affine shadow formation model; light intensity distribution; linear spatial filter; texture feature extraction; underwater image illumination balance algorithm; underwater visual inspection; Brightness; Entropy; Lighting; Maximum likelihood detection; Nonlinear filters; Strips; Affine shadow formation model; Illumination balance processing; Linear spatial filtering; Texture preserving; Underwater image;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-2763-0
Type
conf
DOI
10.1109/CISP.2013.6745294
Filename
6745294
Link To Document