Abstract
In today’s world, where digital image processing is becoming an essential part of technology, segmentation of images poses a challenging problem. Before any complex task that has to be done on images, segmentation is a prerequisite. Segmentation ensures the simplification of a problem by changing the representation of an image from a complex one to a more analytical and easier form. Pixels of segmented regions share common characteristics. Perfect segmentation is difficult to obtain. There exist many techniques which have been applied such as edge-based segmentation, region-based segmentation, morphological operations, thresholding and clustering methods. Segmentation has a crucial role in image analysis. The accuracy of segmentation determines the success or failure of computer algorithms. Therefore, there is a need to develop efficient and less time-consuming algorithms for segmentation. This paper summarizes a number of segmentation methods.
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Jain, S., Laxmi, V. (2018). Color Image Segmentation Techniques: A Survey. In: Nath, V. (eds) Proceedings of the International Conference on Microelectronics, Computing & Communication Systems. Lecture Notes in Electrical Engineering, vol 453. Springer, Singapore. https://doi.org/10.1007/978-981-10-5565-2_17
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DOI: https://doi.org/10.1007/978-981-10-5565-2_17
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