Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos
作者: F. Javier SánchezJorge BernalCristina Sánchez-MontesCristina Rodríguez de MiguelGloria Fernández-Esparrach
作者单位: 1Computer Vision Center and Computer Science Department at Universitat Autonoma de Barcelona
2Universidad de Barcelona
刊名: Machine Vision and Applications, 2017, Vol.28 (8), pp.917-936
来源数据库: Springer Nature Journal
DOI: 10.1007/s00138-017-0864-0
关键词: Specular highlightsBright spot regions segmentationRegion classificationColonoscopy
原始语种摘要: A novel specular highlights detection method in colonoscopy videos is presented. The method is based on a model of appearance defining specular highlights as bright spots which are highly contrasted with respect to adjacent regions. Our approach proposes two stages: segmentation and then classification of bright spot regions. The former defines a set of candidate regions obtained through a region growing process with local maxima as initial region seeds. This process creates a tree structure which keeps track, at each growing iteration, of the region frontier contrast; final regions provided depend on restrictions over contrast value. Non-specular regions are filtered through a classification stage performed by a linear SVM classifier using model-based features from each region. We...
全文获取路径: Springer Nature  (合作)
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影响因子:1.103 (2012)

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关键词翻译
关键词翻译
  • 像素 分类
  • specular 镜的
  • segmentation 分段
  • segmented 分段[割]的
  • colonoscopy 结肠镜检查
  • growing 饲育
  • classification 分类
  • pixel 分类
  • methodology 方法学
  • database 资料库
  • accurate 精确的