Abstract
Along with computer technology, the demand of digital image processing is too high and it is used massively in every sector like organization, business, medical and so on. Image segmentation enables us to analyze any given image in order to extract information from the image. Numerous algorithm and techniques have been industrialized in the field of image segmentation. Segmentation has become one of the prominent tasks in machine vision. Machine vision enables the machine to vision the real-world problems like human does and also acts accordingly to solve the problem, so it is utmost important to come up with the techniques that can be applied for the image segmentations. Invention of modern segmentation methods like instance, semantic and panoptic segmentation has advanced the concept of machine vision. This paper focuses on the various methods of image segmentation along with its advantages and disadvantages.
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Jaiswal, S., Pandey, M.K. (2021). A Review on Image Segmentation. In: Rathore, V.S., Dey, N., Piuri, V., Babo, R., Polkowski, Z., Tavares, J.M.R.S. (eds) Rising Threats in Expert Applications and Solutions. Advances in Intelligent Systems and Computing, vol 1187. Springer, Singapore. https://doi.org/10.1007/978-981-15-6014-9_27
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DOI: https://doi.org/10.1007/978-981-15-6014-9_27
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