Image Segmentation of Cows using Thresholding and K-Means Method

( Vol-3,Issue-9,September - September 2017 )

Author(s): Rosida Vivin Nahari, Achmad Jauhari, Rachmad Hidayat, Riza Alfita

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Page No: 913-918
DOI: 10.24001/ijaems.3.9.2

Keywords:

Image Segmentation, cows, Thresholding, K-Means.

Abstract:

Cow’s weight parameter depends on the characteristics and size of the cow’s body. This system aims to segment body parts of cows using thresholding and K-Means method to produce cow body extraction as an early stage in the process of estimating cow’s weight. The thresholding method begins by inputting a digital image then performing a sharpened grayscale process with edge detection and dilation processes. As a comparison, segmentation with K-Means method would segment the image into two (2) clusters. The results showed better segmentation of cow’s body with local thresholding method than the other two methods.

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