Abstract
Image segmentation is a necessary method in image processing. It is nothing but partitioned an image into several parts called segments. It has applications like image compression; because of this type of application, it is unable to develop the entire image. In that, time segmentation technique is used, to segment the portions from the image for remaining processing. Already certain methods are existed, which divides the single image into multiple parts depending on some constraints like intensity value of the pixel, image color, size, texture, etc. These methods can be divided based on segmentation method. In this paper, author reviewed some algorithms, and finally their pros and cons are listed.
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Suresh, K., Srinivasa rao, P. (2019). Various Image Segmentation Algorithms: A Survey. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 105. Springer, Singapore. https://doi.org/10.1007/978-981-13-1927-3_24
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DOI: https://doi.org/10.1007/978-981-13-1927-3_24
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