Foundations of Intelligent Systems pp 537-546 | Cite as
Melon Image Segmentation Based on Prior Shape LCV Model
Abstract
A new LCV (local chan-vess) model algorithm based on prior shape focusing on segmentation of melon image is proposed in this paper to measure the micro changes of morphological parameters. During the process, local boundary information image of melon is acquired firstly through mathematical morphology algorithm, and construct LCV model according to the form of traditional CV model. After that, a prior shape can be obtained by mathematical morphology and spline interpolation algorithms, and then be integrated into LCV model functional through a shape comparing function, thus the LCV model based on prior shape is constructed. Compared with traditional edge detection and segmentation algorithms, the new algorithm proposed in this paper could obtain more ideal boundary information.
Keywords
melon morphology image segmentation prior shape LCV modelPreview
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