Shape Feature Extraction of an Object Usingmaximum Connected Component
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Abstract
Objects in real world can be detected, classified and recognized using multiple features like color, texture and shape. Shape feature is extracted in this research work to detect and recognize objects. The research work implemented in this paper makes use of maximum connected component algorithm to extract shape feature along with color image segmentation using HSV color space. The objective of including a preprocessing stage where images are segmented using HSV color space is to separate the object to be detected in an image. Hence, in this work, The First phase requires color image segmentation and second phase is to extract the shape feature of the object from it using Maximum connected component.
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D. Hema, Dr. S. Kannan. (2021). Shape Feature Extraction of an Object Usingmaximum Connected Component. Annals of the Romanian Society for Cell Biology, 82–86. Retrieved from https://annalsofrscb.ro/index.php/journal/article/view/4257
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