Recent Trends of Granular Computing Approaches for Image Processing in Medical Imaging

The objective of this study is to provide a comprehensive analysis of the current developments in the application of granular computing techniques in the field of biomedical image processing. Granular computing is a methodological approach that utilises granules as a means to effectively tackle a diverse array of diseases. The granules mentioned below represent the elemental constituents of granular computing. This paper offers an academic exploration of the application of granular computing in addressing image processing problems. It encompasses a comprehensive examination of the parameters associated with granular computing, the significance of granular computing in the field of image processing, a diverse range of image processing techniques, and the contributions made by granular computing in overcoming challenges encountered in medical image processing. Furthermore, this study examines the accomplishments of granular computing, performs a comprehensive review of the existing literature on granular computing and image processing methodologies, emphasises the benefits of employing granular computing in contrast to alternative image processing approaches, and ultimately investigates the various health concerns and obstacles associated with the utilisation of granular computing in the context of image processing.