ASM-VoFDehaze: a real-time defogging method of zinc froth image. Issue 1 (31st December 2022)

• Record Type: Journal Article
• Authors: Xiao, Wenhui; Tang, Zhaohui; Yang, Ce; Liang, Wei; Hsieh, Meng-Yen
• Is Part Of: Connection science. Volume 34:Issue 1(2022)
• Page Start: 709
• Page End: 731
• Publication Date: 2022-12-31
• Subjects: Real-time defogging of zinc froth image -- atmospheric scattering model -- linear transformation -- Gaussian filtering -- the variable-order fractional differential operator; Neural computers -- Periodicals; Artificial intelligence -- Periodicals; Cognitive science -- Periodicals; Connectionism -- Periodicals; 006.3
• DOI: 10.1080/09540091.2022.2038543
• Languages: English
• ISSNs: 0954-0091

Abstract

Abstract : When the ambient temperature is low, a large amount of water mist and dust will inevitably appear around the zinc flotation cell, forming haze, which seriously affects the extraction of flotation froth image features. General defogging methods of natural image are difficult to obtain satisfactory results for such industrial haze image. Therefore, we propose a real-time defogging method based on ASM-VoFD (Atmospheric Scattering Model and the Variable-order Fractional Differential). First, the dark pixel ratio is used to detect fog in froth image, which solves the redundant calculation caused by unnecessary defogging operations. Second, the linear transformation of the atmospheric scattering model is used to calculate the initial transmission map, and the gaussian filter is used to optimize the initial transmittance, and the haze-free image is restored with atmospheric light estimation. Finally, a variable order fractional differential operator is used to enhance the edges and texture details of the restored froth image, which solves the problems of blurred edges and low contrast. The experiments show that the algorithm has a good defogging effect on the industrial images, enhance the edges of the image, and can be effectively implemented in O(N) time to meet the application requirements of real-time flotation monitoring.