Abstract
Watershed transformation based segmentation which is a segmentation based on marker is a special tool used in image processing. Color based image segmentation has been considered an important area since its inception, due to its wide variety of applications in the field of weather forecasting to medical image analysis etc. Due to this color image segmentation is widely researched. This paper analyses the performance of two main algorithms used for image segmentation namely Watershed algorithm and graph based image segmentation. The performance analysis proves that graph based segmentation is better than watershed algorithm in cases where noise is maximum and also the over segmentation problem is removed. Color segmentation with graph based image segmentation gives satisfactory results unlike watershed algorithm.
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Deb, S., Sinha, S. (2014). Comparative Improvement of Image Segmentation Performance with Graph Based Method over Watershed Transform Image Segmentation. In: Natarajan, R. (eds) Distributed Computing and Internet Technology. ICDCIT 2014. Lecture Notes in Computer Science, vol 8337. Springer, Cham. https://doi.org/10.1007/978-3-319-04483-5_33
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DOI: https://doi.org/10.1007/978-3-319-04483-5_33
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04482-8
Online ISBN: 978-3-319-04483-5
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