Extended-Maxima Transform Watershed Segmentation Algorithm for Touching Corn Kernels. (18th June 2013)

• Record Type: Journal Article
• Authors: Qin, Yibo; Wang, Wei; Liu, Wei; Yuan, Ning
• Other Names: Tao Yong Academic Editor.
• Is Part Of: Advances in mechanical engineering. Volume 2013(2013)
• Publication Date: 2013-06-18
• Subjects: Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1155/2013/268046
• Languages: English
• ISSNs: 1687-8132

Abstract

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%.