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SAGE Publications, Advances in Mechanical Engineering, (5), p. 268046, 2013

DOI: 10.1155/2013/268046

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Extended-Maxima Transform Watershed Segmentation Algorithm for Touching Corn Kernels

Journal article published in 2013 by Yibo Qin, Wei Liu, Wei Wang ORCID, Ning Yuan
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Touching corn kernels are usually oversegmented by the traditional watershed algorithm. This paper proposes a modified watershed segmentation algorithm based on the extended-maxima transform. Firstly, a distance-transformed image is processed by the extended-maxima transform in the range of the optimized threshold value. Secondly, the binary image obtained by the preceding process is run through the watershed segmentation algorithm, and watershed ridge lines are superimposed on the original image, so that touching corn kernels are separated into segments. Fifty images which all contain 400 corn kernels were tested. Experimental results showed that the effect of segmentation is satisfactory by the improved algorithm, and the accuracy of segmentation is as high as 99.87%.