Opening and closing in morphological image processing

Sunil Bhutada, Nakerakanti Yashwanth *, Puppala Dheeraj and Kethavath Shekar

Department of IT, Sreenidhi Institute of Science & Technology (A), Hyderabad, Telangana, India.
 
Review Article
World Journal of Advanced Research and Reviews, 2022, 14(03), 687–695
Article DOI: 10.30574/wjarr.2022.14.3.0576
 
Publication history: 
Received on 14 May 2022; revised on 19 June 2022; accepted on 21 June 2022
 
Abstract: 
Morphological Image Processing is a useful tool in digital image processing because it can rigorously quantify many features of the geometrical structure of a way that is consistent with human intuition and perception. Morphological processing may remove noise and clutter from images, as well as alter them according to the size and shape of the items of interest. Linear Image Processing is sometimes used instead of Morphological Image Processing since it changes the underlying geometric form of an image, although Morphological Image Processing does not lose the image's information.
 
Keywords: 
Morphological image processing; Erosion; Dilation; Opening; Closing
 
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