计算机应用研究2017，Vol.34Issue(3)：953-956,4.DOI:10.3969/j.issn.1001-3695.2017.03.073
结合伪彩色与上下文感知的肺癌PET图像分割算法
Research on segmentation algorithm of lung cancer PET images based on pseudo color and context aware
摘要
Abstract
Because of the low quality of lung cancer PET image and no obvious gray scale difference in the region,the graph segmentation algorithm based on color feature couldn't be effectively segmented.This paper proposed segmentation algorithm for lung cancer PET image based on pseudo color and context awareness.First,the original lung cancer PET images were generated the corresponding pseudo color pictures according to the color-lookup table.Then,it used improved context aware model to obtain the pseudo color pictures corresponding to the saliency map,and the Otsu algorithm for binarization processing of the saliency map,initialization of the saliency map segmentation.Finally,it used improve GrabCut algorithm to segment images by iterative method.The algorithm was applied to the segmentation of lung cancer PET image.Experimental results show that the proposed algorithm can effectively improve the segmentation efficiency of lung cancer PET image,improve the segmentation accuracy,ignore the user operation of GrabCut algorithm and Snake algorithm,realize the automation of image segmentation,which has higher reliability,efficiency,and practical application value.关键词
正电子发射型计算机断层显像/上下文感知/GrabCut算法/图像分割Key words
positron emission computed tomography/context aware/GrabCut algorithm/image segmentation分类
信息技术与安全科学引用本文复制引用
刘露,于晓婷,丁博..结合伪彩色与上下文感知的肺癌PET图像分割算法[J].计算机应用研究,2017,34(3):953-956,4.基金项目
黑龙江省自然科学基金资助项目(F201208) （F201208）
