ABSTRACT

Image analysis is the method that involves extracting beneficial information via primarily digital images, photographs, using image processing techniques. The tasks of image recognition may range from as simple as reading the barcoded tags to as complex as identifying an individual on the basis of their face. Canny edge detection is used to extract beneficial structural information from different vision artefacts while reducing the amount of data to be processed significantly. This technique has been used in many computer vision systems. A set of 26 articles, between the years 2012 to 2022 were reviewed to get an idea about the about image processing for bone fractures using canny edge detection method. Canny edge detection, Sobel edge detection, edge detection method, Prewitt edge detection, log edge detection, Roberts edge detection, GLCM method were adopted by the researchers to analyse the perfect information from the bone image, also detect the human lower leg bone fracture and to develop an intelligent classification system that would detect and classify bone fracture. All the statistical analysis incorporated gave convincing and clearer idea about the Canny edge method for detecting the bone fractures, 2D images, face recognition, CT Scan images, pattern recognition to obtain an enriched image or to draw out some beneficial details from it. Keywords: Bone Fracture, Image analysis, Canny Edge Method, Image processing, Machine Learning
Publication date: 01/05/2024

https://ijbpas.com/pdf/2024/May/MS_IJBPAS_2024_7974.pdf

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https://doi.org/10.31032/IJBPAS/2024/13.5.7974