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题名: Automatic Gastroscopy Video Quality Assessment
作者: Wang S(王帅); Tian DY(田冬英); Cong Y(丛杨); Yang YS(杨云生); Tang YD(唐延东); Zhao HC(赵怀慈)
作者部门: 机器人学研究室
会议名称: 2014 International Conference on Robotics and Biomimetics (ROBIO 2014)
会议日期: December 5-10, 2014
会议地点: Bali, Indonesia
会议录: 2014 International Conference on Robotics and Biomimetics (ROBIO 2014)
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2014
页码: 2709-2714
收录类别: EI
ISBN号: 978-1-4799-7396-5
摘要: Automatic endoscope video analysis is an essential function for medical robot and computer-aided diagnosis system. However, the performance of these video analysis algorithms are often degraded by low quality endoscope images under the uncontrolled environment, where some of them are difficult even for human ourselves for analysis, such as oversaturated by reflection, too dark or obscure. In this paper, we formulate the problem of gastroscopy video quality evaluation as a supervised framework and detect non-informative frames from gastroscopy video sequence. In order to achieve this goal, HSV histograms, pyramid of histograms of orientation gradients and uniform Local Binary Pattern are extracted to represent frames. And then the Random Forests classifier is used to classify non-informative frames. Experimental results in our new gastroscopy video dataset with about 110000 frames demonstrate that the accuracy of our method is about 95% with the false positive rate lower than 1.3%.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15410
Appears in Collections:机器人学研究室_会议论文

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