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Fuzzy thresholding technique for multiregion picture division

    Kotte Sowjanya Munazzar Ajreen Paka Sidharth Kakara Sriharsha Lade Aishwarya Rao

International Research Journal on Advanced Science Hub, 2022, Volume 4, Issue 03, Pages 45-50
10.47392/irjash.2022.011

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Abstract

Segmentation of images has become a critical component of modern life. Seg- mentation is a critical phase of the picture investigation process. Numerous concepts and methods for segmenting images have been developed. Using thresholding to quickly and easily delete distinct areas of a photograph is a simple process. It aspires to global esteem, thereby widening the yield divide. The purpose of this study is to demonstrate how to use a multiregion threshold- ing technique to overcome the primary constraint on the thresholding process when images are debased with noise and disruption. Using a fuzzy member- ship function, picture element from the photographs is connected to various component centroids, avoiding any underlying hard choice. In this project, we use fluffy- c implies means thresholding for picture division. The fundamen- tal objective of this technique is to separate the essential development from a given image by altering the pixels. To mitigate noise and artefacts, this tech- nique employs spatial information in a nearby accumulation step, where the support level of each picture element is arranged by neighborhood informa- tion that takes into account the enlists of picture element early. Following that, the consequences are looked at and are analogized to established methods to determine whether they are satisfactory.
Keywords:
    Fuzzy set picture division pixels Fuzzy logic Histogram
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(2022). Fuzzy thresholding technique for multiregion picture division. International Research Journal on Advanced Science Hub, 4(03), 45-50. doi: 10.47392/irjash.2022.011
Kotte Sowjanya; Munazzar Ajreen; Paka Sidharth; Kakara Sriharsha; Lade Aishwarya Rao. "Fuzzy thresholding technique for multiregion picture division". International Research Journal on Advanced Science Hub, 4, 03, 2022, 45-50. doi: 10.47392/irjash.2022.011
(2022). 'Fuzzy thresholding technique for multiregion picture division', International Research Journal on Advanced Science Hub, 4(03), pp. 45-50. doi: 10.47392/irjash.2022.011
Fuzzy thresholding technique for multiregion picture division. International Research Journal on Advanced Science Hub, 2022; 4(03): 45-50. doi: 10.47392/irjash.2022.011
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