Implementation of image fusion to investigate wall crack

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.