An Illumination Balance Algorithm Based on Improved Affine Shadow Formation Model for Underwater Image

被引:0
作者
Fan, Xinnan [1 ]
Wu, Peng [1 ]
Ni, Jianjun [1 ]
Shi, Pengfei [2 ]
机构
[1] Hohai Univ, Coll IOT Engn, Changzhou, Peoples R China
[2] Hohai Univ, Coll Comp & Informat, Changzhou, Peoples R China
来源
2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3 | 2013年
基金
中国国家自然科学基金;
关键词
Underwater image; Illumination balance processing; Affine shadow formation model; Linear spatial filtering; Texture preserving; AUTOMATIC CRACK DETECTION; FACE RECOGNITION; INSPECTION; SYSTEM; NIGHT;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:910 / 916
页数:7
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