1 February 2009 Algorithm based on marker-controlled watershed transform for overlapping plant fruit segmentation
Qingbing Zeng, Yu-bin Miao, Chengliang Liu, Shiping Wang
Author Affiliations +
Abstract
Overlapping is a major problem for machine vision applications in agriculture. We present a robust marker-controlled watershed transform algorithm to automatically perform the accurate segmentation of overlapping plant fruits. The marker-controlled watershed algorithm mainly involves image preprocessing, marker extraction, and watershed transform. Marker extraction is the most important and difficult step of the whole process. Using K-means clustering, cut point decision making, spline interpolating, and morphological processing, markers can be detected automatically. Due to the good localization performance of detected markers, the accurate contour of separated fruits can be extracted by the watershed transform based on detected markers. The face validity of the segmentation algorithm is tested with a set of grape images, and segmentation results are overlaid onto original images for visual inspection. The algorithm is further evaluated by comparing segmentation results with a "gold standard" established by professional agronomists. Quantitative comparison shows that the segmentation algorithm can obtain very good spatial segmentation results.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Qingbing Zeng, Yu-bin Miao, Chengliang Liu, and Shiping Wang "Algorithm based on marker-controlled watershed transform for overlapping plant fruit segmentation," Optical Engineering 48(2), 027201 (1 February 2009). https://doi.org/10.1117/1.3076212
Published: 1 February 2009
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CITATIONS
Cited by 26 scholarly publications.
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KEYWORDS
Image segmentation

Detection and tracking algorithms

Image processing algorithms and systems

Algorithm development

Image filtering

Image processing

Optical engineering

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