Abstract
In order to solve the problem of unsatisfactory detection effect of underwater visual saliency map, an image saliency detection algorithm based on improved histogram equalization is proposed. Underwater images are often not clear enough because the refraction of light underwater causes insufficient image resolution. Therefore, in order to solve the existing problems of traditional histogram equalization algorithm, an improved histogram equalization method is proposed to enhance the quality of images, which makes the saliency regions smoother and clearer. In this paper, the simulation experiments were conducted on UIEBD dataset and DLOU_underwater dataset. The experimental results show the effectiveness, robustness and accuracy of the proposed algorithm.
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Acknowledgement
This work is supported by Guangdong Province Key Laboratory of Popular High Performance Computers (SZU-GDPHPCL201805), Institute of Marine Industry Technology of Universities in Liaoning Province (2018-CY-34), China Postdoctoral Science Foundation (2018M640239).
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Cui, Z., Wu, J., Yu, H., Zhou, Y., Liang, L. (2019). Underwater Image Saliency Detection Based on Improved Histogram Equalization. In: Mao, R., Wang, H., Xie, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0121-0_12
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DOI: https://doi.org/10.1007/978-981-15-0121-0_12
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