Shouming Hou1, Chaolan Jia1, Kai Li1, Liya Fan2, Jincheng Guo3,*, Mackenzie Brown4,*
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 81-94, 2022, DOI:10.32604/cmes.2022.019006
Abstract Edge detection is an effective method for image segmentation and feature extraction. Therefore, extracting weak
edges with the inhomogeneous gray of Corona Virus Disease 2019 (COVID-19) CT images is extremely important.
Multiscale morphology has been widely used in the edge detection of medical images due to its excellent boundary
detection accuracy. In this paper, we propose a weak edge detection method based on Gaussian filtering and singlescale Retinex (GF_SSR), and improved multiscale morphology and adaptive threshold binarization (IMSM_ATB).
As all the CT images have noise, we propose to remove image noise by Gaussian filtering. The edge of CT images is… More >
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