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International Journal of Image Processing and Vision Science

Abstract

The term Mathematical Morphology (MM) mostly deals with the mathematical theory of describing shapes using sets. In morphology, images are represented as sets. This task is investigated by the interaction between an image and a certain chosen arbitrary structuring element using the basic operations of erosion and dilation. The various applications of morphologyinclude skeletonization, prunning, optical character recognition,image analysis,artifacts removal,boundary extraction, etc. It is further extended by the fact that mathematical morphology provides better quality image data for analysis and diagnostic purposes. The process is very efficient due to the use of MATLAB algorithmswhich are helpful for securing meaningful information against different threats like-speckle noise, salt and pepper noise,etc.

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