Image Segmentation of Cows using Thresholding and K-Means Method
Journal: International Journal of Advanced engineering, Management and Science (Vol.3, No. 8)Publication Date: 2017-08-13
Authors : Rosida Vivin Nahari; Achmad Jauhari; Rachmad Hidayat; Riza Alfita;
Page : 913-918
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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Last modified: 2017-09-10 19:45:15