Automatic Gastroscopy Video Quality Assessment
文献类型：会议论文
| 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)
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| 出版日期 | 2014 |
| 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 |
| 页码 | 2709-2714 |
| 通讯作者 | 王帅 |
| 中文摘要 | 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%. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2014 International Conference on Robotics and Biomimetics (ROBIO 2014)
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| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-7396-5 |
| WOS记录号 | WOS:000380399500455 |
| 源URL | [http://ir.sia.cn/handle/173321/15410]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Wang S,Tian DY,Cong Y,et al. Automatic Gastroscopy Video Quality Assessment[C]. 见:2014 International Conference on Robotics and Biomimetics (ROBIO 2014). Bali, Indonesia. December 5-10, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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