Leaf Boundary Extraction with a Wind Noise Method

Bei Bei Li; Zhi Hong Zhao

doi:10.4028/www.scientific.net/AMM.519-520.627

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520Leaf Boundary Extraction with a Wind Noise Method

Leaf Boundary Extraction with a Wind Noise Method

Abstract:

This paper presents a method to extract leaf boundary from its 2D image. To solve this problem we firstly perform boundary feature extraction, based on which the key points on the boundary can be sampled and accordingly positioned in their geometry coordinates. Secondly, the leafs boundary configuration may be modeled with a wind noise method. Its amplitude development allows a linear sine function behaviors. The corresponding sampled points amplitudes in this model can be calculated according to their actual coordinates. Thirdly, to achieve better results to extract the discussed leaf boundary from its initial image, the model has to be self-optimized and self-improved ability by using a genetic algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

627-630

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.627

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Online since:

February 2014

Authors:

Bei Bei Li, Zhi Hong Zhao

Keywords:

Boundary Extraction, Genetic Algorithm (GA), Leaf, Wind Noise

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