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Proceedings Paper

Fruit image segmentation based on a novel watershed algorithm
Author(s): Hao Zhu; Wenyao Liu
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Paper Abstract

Previous research about automatic vision systems applied to fruit imaging segmentation fails. Watershed transformation is a powerful morphological tool for image segmentation. However, the performance of segmentation methods based on watershed depends largely on gradient of the image. It's not perfect to segment object with single-scale gradient. In this paper we present a multi-scale algorithm for computing morphological gradient images, after this transformation, there exists a strict causality between gradient watershed under different scales of geodesic reconstruction. The results demonstrate the superior performance of the watershed segmentation over the conventional techniques.

Paper Details

Date Published: 21 August 2005
PDF: 6 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 602734 (21 August 2005); doi: 10.1117/12.668316
Show Author Affiliations
Hao Zhu, Tianjin Univ. (China)
Wenyao Liu, Tianjin Univ. (China)

Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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