Region-Growing based Hough Transform for Localization of Carotid Artery
Keywords:
uniqueness, Atherosclerosis, plaque, cardiovascular, carotidAbstract
Shape recognition is one of the most important tasks in image processing and pattern recognition. A prominent technique employed for circular shape recognition is the Circular Hough Transform algorithm, which is utilized to localize the carotid artery to discern the potential onset of Atherosclerosis disease. In this research, we present a novel multi-seeded iterative region growing based on circular Hough’s transform algorithm to locate the center of the carotid artery using ultrasound images to measure the diameter of the artery. The uniqueness of our algorithm is underscored by the automatic selection of multiple seed points randomly, which is then utilized for the region- growing process. Post-processing, the Circular Hough transform is employed to discern the pertinent carotid region. Further, the radius is measured for the diagnosis of Atherosclerosis disease is a cardiovascular disease engendering from plaque buildup in the carotid artery, consequently decreasing its diameter.
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