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arXiv · 1706.00396

Line Profile Based Segmentation Algorithm for Touching Corn Kernels

Ali Mahdi·Jun Qin
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Abstract

Image segmentation of touching objects plays a key role in providing accurate classification for computer vision technologies. A new line profile based imaging segmentation algorithm has been developed to provide a robust and accurate segmentation of a group of touching corns. The performance of the line profile based algorithm has been compared to a watershed based imaging segmentation algorithm. Both algorithms are tested on three different patterns of images, which are isolated corns, single-lines, and random distributed formations. The experimental results show that the algorithm can segment a large number of touching corn kernels efficiently and accurately.

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Ali Mahdi, Jun Qin. 2017-06-01. Line Profile Based Segmentation Algorithm for Touching Corn Kernels. https://arxiv.org/abs/1706.00396

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