计算机应用与软件Issue(11)：176-179,4.DOI:10.3969/j.issn.1000-386x.2013.11.049
基于小波变换与 Snake模型的肺野图像分割方法
A LUNG FIELD IMAGE SEGMENTATION METHOD BASED ON WAVELET ANALYSIS AND SNAKE MODEL
摘要
Abstract
X-ray chest radiographs of DR pneumoconiosis is affected by the diversity of pneumoconiosis disease , which lead to the region-based and edge-based image segmentation algorithms not being able to make accurate segmentation on lung field region .In light of this problem, we propose a lung field segmentation algorithm which is based on the combination of wavelet transform and Snake model algorithm . By analysing the features of X-ray chest radiographs of DR pneumoconiosis , the algorithm first enhances the edge of the target image through linear transform in spatial domain , then it decomposes the image in multi-scale with wavelet method .After that, the Canny algorithm is employed to extract and integrate the edges of the low frequency images with different scales to implement the automated acquisition of initial profiles of lung filed image .Finally, the initial profiles are further modified and optimised with gradient vectorflow filed ( GVF ) Snake algorithm so as to realise accurate segmentation on lung field region .Experimental results prove that the proposed method has a higher recognition rate and stable recognition effect .关键词
尘肺胸片/肺野分割/图像增强/小波变换/多尺度/Snake/边缘检测Key words
Pneumoconiosis chest radiographs/Lung field segmentation/Image enhancement/Wavelet transform/Multi-scale/Snake/Edge detection分类
信息技术与安全科学引用本文复制引用
罗海峰,翟荣存..基于小波变换与 Snake模型的肺野图像分割方法[J].计算机应用与软件,2013,(11):176-179,4.基金项目
安徽省计算机应用技术省级特色建设点基金项目（20101851）。 （）
