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Analysis of Image Processing Using Morphological Erosion and Dilation

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Published under licence by IOP Publishing Ltd
, , Citation K A M Said and A B Jambek 2021 J. Phys.: Conf. Ser. 2071 012033 DOI 10.1088/1742-6596/2071/1/012033

1742-6596/2071/1/012033

Abstract

Digital image processing is important for image information extraction. One of the image processing methods is morphological image processing. This technique uses erosion and dilation operations to enhance and improve the image quality by shrinking and enlarging the image foreground. However, morphological image processing performance depends on the characteristics of structuring elements and their foreground image that need to be extracted. This paper studies how the structuring elements affect the performance of morphological erosion and dilation on binary images. The experimental result shows that choosing the right structuring element for morphological erosion and dilation can significantly influence the foreground and background structure of the output image.

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