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针对渔场监控系统中夜间监控图像存在大量噪声的情况,分析了图像主要噪声源,并通过仿真试验分析了各种常见的图像去噪算法,在综合考虑图像去噪平滑效果、图像的清晰程度及图像去噪时间复杂度的基础上,提出了将数学形态学方法和中值滤波方法相结合用于数字监控系统的图像去噪算法。通过试验验证了本算法的可行性、实时性和鲁棒性。
In view of the large amount of noise in the night monitoring images of the fishery monitoring system, the main noise source of the image is analyzed and various common image denoising algorithms are analyzed through the simulation experiments. After considering the smoothing effect of the image denoising, the clarity of the image, Based on the time complexity of image denoising, an image denoising algorithm based on mathematical morphological method and median filtering method is proposed for digital monitoring system. The experiment proves the feasibility, real-time and robustness of this algorithm.