Fruit image segmentation based on a novel watershed algorithm

Hao Zhu; Wenyao Liu

doi:10.1117/12.668316

21 August 2005 Fruit image segmentation based on a novel watershed algorithm

Hao Zhu, Wenyao Liu

Proceedings Volume 6027, ICO20: Optical Information Processing; 602734 (2005) https://doi.org/10.1117/12.668316
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

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.

Citation Download Citation

Hao Zhu and Wenyao Liu "Fruit image segmentation based on a novel watershed algorithm", Proc. SPIE 6027, ICO20: Optical Information Processing, 602734 (21 August 2005); https://doi.org/10.1117/12.668316

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