Performance Evaluation of Watershed Segmentation Algorithm for Noisy and Noise Free Images Using Adaptive Thresholding and Masking
This paper has presented a performance evaluation of different image segmentation techniques. The image segmentation; segments a given image into separate regions and objects. It is widely used in various vision applications like face detections, motion detection etc. The overall objective of this paper is to design and implement various techniques of image segmentation. The shortcomings of image segmentation techniques will also be evaluated. This paper ends up with the performance evaluation of the over-segmentation, watershed segmentation using masking and also effect of the noise on the masking based watershed segmentation techniques. It has been shown that the noise has affected the segmentation at a great extent.
Index Terms—Image Segmentation, Watershed, Clustering, Thresholding.