An illumination balance algorithm based on improved affine shadow formation model for underwater image

Xinnan Fan, Peng Wu, J. Ni, P. Shi
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引用次数: 3

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.
基于改进仿射阴影形成模型的水下图像光照平衡算法
水下视觉检测中光照分布的不均匀会导致纹理特征的提取困难。在保持纹理细节的同时保持水下图像的光照平衡一直是水下视觉检测的关键问题之一。针对这一问题,本文提出了一种基于改进仿射阴影形成模型的光照平衡算法。该方法利用线性空间滤波器获得图像的光强分布,并根据光强分布将原始图像划分为一系列小的像素条。然后基于改进的仿射阴影形成模型对图像进行光照平衡。实验结果表明,该方法能有效地处理水下图像中光照不均匀的问题,并能有效地保留图像的纹理细节,这对水下图像的后续处理和分析具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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