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title

COMPARATIVE STUDY ON SEGMENTATION TECHNIQUES USING FRUIT IMAGES

Author(s):

M.Najela Fathin.

Keywords:

Otsu thresholding, Watershed transformation, K-Means Clustering, Fruit images

Abstract

Segmentation is a process of dividing an image into distinct regions with the aim to extracts object of interest from the background. The traditional thresholding , clustering and transformation segmentation techniques that were widely used are Otsu and K-means and watershed. Segmentation of image plays an crucial act in pragmatic applications such as medical science. Thresholding is an important technique for image segmentation. Among all segmentation method, Otsu method is one of the most standout methods for image thresholding. Clustering is one of the methods used for segmentation. Both Otsu and K-means methods produce good quality of segmented areas under natural environment . the objective of this paper is to compare segmentation techniques between Otsu, K-means and watershed techniques on fruit images to find out which provides a best result based on segmentation metrics

Other Details

Paper ID: IJSARTV
Published in: Volume : 4, Issue : 4
Publication Date: 4/22/2018

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