Laser imaging for the underwater object and image segmentation based on fractal

Yanjun Chang; Fuyuan Peng; Lin Luo; Ying Zhang

doi:10.1117/12.538554

25 September 2003 Laser imaging for the underwater object and image segmentation based on fractal

Yanjun Chang, Fuyuan Peng, Lin Luo, Ying Zhang

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538554
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

Water is a kind of special natural background. The image acquired with laser imaging system for the underwater object always has some speckle noises caused by the backscattering of water and suspended particles, which gives birth to inconvenient to extract features of the image. In this paper, a set of laser underwater imaging system, which uses range-gated technique to avoid the backscatter and imaging distance up to above 20 meters, and its experimental results in boat-pool are introduced. According to the inherent mechanism of the underwater laser image, we propose a fractal-characters-based method for segmentation of the nature scene to find the artifact object from the image, which adopts region segmentation by Hausdroff dimension obtained by blanket covering method, and depends on the different distribution of the texture characteristic and multi-scale analysis to carry out the image segmentation. Experiments show the approach is suitable for texture segmentation and object finding in the image acquired b laser imaging laser system for the underwater object.

Citation Download Citation

Yanjun Chang, Fuyuan Peng, Lin Luo, and Ying Zhang "Laser imaging for the underwater object and image segmentation based on fractal", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538554

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