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Image Analysis of SEM Micrograph of Co-doped ZnO-Based Oxide Semiconductors

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 989))

Abstract

Digital image processing deals with the processing of digital images using its standard methods like restoration, noise reduction, segmentation and edge detection. The proposed work represents a novel image processing technique access and validates the findings of scanning electron microscopy micrographs of Co-doped ZnO dilute magnetic semiconductors. Median and Sobel filtering techniques are used to improve the quality of the image whereas the watershed segmentation algorithm is used to determine to approximate particle size as well as distribution.

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Correspondence to Rana Mukherji .

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Mukherji, R., Mathur, V., Mukherji, M. (2020). Image Analysis of SEM Micrograph of Co-doped ZnO-Based Oxide Semiconductors. In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-13-8618-3_34

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