Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/264
Title: Implementation of image fusion to investigate wall crack
Authors: Krishnamoorthy, Sujatha 
Zhang, Changjiang 
Zhou, Yanxin 
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Source: Krishnamoorthy, S., Zhang, C., & Yan-xin, Z. (2020). Implementation of image fusion to investigate wall crack. 2020 International Conference on Emerging Trends in Information Technology and Engineering, 1-3.
Journal: 2020 International Conference on Emerging Trends in Information Technology and Engineering 
Conference: 2020 International Conference on Emerging Trends in Information Technology and Engineering 
Abstract: Image Fusion (ImgF) technique is combining the features of an image set (Img), to create a resulting Img with advanced information analysis point of view. In this paper, some novel ImgF algorithms implemented and in different fields, for example, Crack Detection (CD). The initial segment of research work manages a novel CD method dependent on Non-Destructive Testing (NDT) in wall cracks containing range limits with wall Imgs complications. For example, the Hyperbolic Tangent (HBT) filtering algorithm used for different edge tracking processes. The feedback of detector fusion is achieved using Haar Discrete Wavelet Transform (HDWT) and max estimation with mean detail ImgF algorithm to acquire primary crack edges detection. Through higher edge localization and PSNR, the future framework provides improved Edge Detection (ED) in Imgs.
Description: Please note that preprint copy is not available on WIRE. Please contact wire@wku.edu.cn to request an electronic copy of this item.
URI: https://hdl.handle.net/20.500.12540/264
DOI: 10.1109/ic-ETITE47903.2020.397
Appears in Collections:Scholarly Publications

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