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基于Level Set方法的木材细胞显微图像分割
引用本文:管雪梅,孙丽萍. 基于Level Set方法的木材细胞显微图像分割[J]. 东北林业大学学报, 2006, 34(5): 55-56,60
作者姓名:管雪梅  孙丽萍
作者单位:东北林业大学,哈尔滨,150040
基金项目:国家自然科学基金;黑龙江省自然科学基金
摘    要:
为解决木材细胞纤维图像分割中的某些图像分割不连续的现象,引入了基于形变模型(DeformableModels)的水平集(LevelSet)方法对木材细胞图像进行分割,并用Matlab实现了基于该形变模型的窄带(NarrowBand)快速算法。对针叶材和阔叶材的显微图片进行仿真试验表明,该方法适合于对具有分支、突触以及拓扑结构变化的木材细胞图像进行快速精确分割,不但具有全局优化的能力,而且可以检测出模糊或离散状边界,对噪声也有一定的鲁棒性。

关 键 词:水平集  图像分割  木材细胞  显微图像  窄带方法
收稿时间:2005-11-17
修稿时间:2005-11-17

Image Segmentation of Wood Cells Based on Level Set Method
Guan Xuemei,Sun Liping. Image Segmentation of Wood Cells Based on Level Set Method[J]. Journal of Northeast Forestry University, 2006, 34(5): 55-56,60
Authors:Guan Xuemei  Sun Liping
Affiliation:Northeast Forestry University, Harbin 150040, P. R. China
Abstract:
Level set method based on deformable models was applied to image segmentation of wood cells, and a fast level set method called Narrow Band algorithm is realized with Matlab aiming to solve the discontinuous phenomenon occurred in the image segmentation of wood cells. Simulation experiments were performed on microscopic images of wood cells from coniferous and deciduous trees. Results showed that the algorithm with goal optimization capacity is quick and precise in segmenting images with significant protrusions or transformable topology, which can examine fuzzy and scattered boundaries, and also has certain level of noise robustness.
Keywords:Level sets  Image segmentations  Wood cells  Microscopic images  Narrow bands
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