Binarization Algorithm Based on Side Window Multidimensional Convolution Classification

doi:10.3390/s22155640

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	Binarization Algorithm Based on Side Window Multidimensional Convolution Classification
	H. Ren; Y. J. Wang and X. Dong
刊名	Sensors
	2022
卷号	22 期号:15 页码:16
DOI	10.3390/s22155640
英文摘要	Uneven illumination and space radiation can cause inhomogeneous grayscale distribution, low contrast, and noisy images in in-orbit cameras. A binarization algorithm based on morphological classification is proposed to solve the problem of inaccurate image binarization caused by space image degradation. Traditional local binarization algorithms generally calculate thresholds based on statistical information of gray dimensions within the local window, often ignoring the morphological distribution information, leading to poor results in degraded images. The algorithm presented in this paper demonstrates the property of the side window filtering (SWF) kernel on morphological clustering. First, the eight-dimensional SWF convolution kernel is used to describe the morphological properties of the pixels. Then, the positive and negative types of each pixel in the local window are identified, and the local threshold is calculated according to the difference between the two types. Finally, the positive pixel is used to filter the threshold of each pixel, with the binarization threshold satisfying the morphologically smooth and continuous property. A self-built dataset is used to evaluate the algorithm quantitatively and the results are compared with the three existing classical techniques using the quantitative measures FM, PSNR, and DRD. The experimental results show that the algorithm in this paper yields good binarization results for different degraded images, outperforms the comparison algorithm in terms of accuracy and robustness, and is insensitive to noise.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/66438]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	H. Ren,Y. J. Wang and X. Dong. Binarization Algorithm Based on Side Window Multidimensional Convolution Classification[J]. Sensors,2022,22(15):16.
APA	H. Ren,&Y. J. Wang and X. Dong.(2022).Binarization Algorithm Based on Side Window Multidimensional Convolution Classification.Sensors,22(15),16.
MLA	H. Ren,et al."Binarization Algorithm Based on Side Window Multidimensional Convolution Classification".Sensors 22.15(2022):16.