Loading...
Please wait, while we are loading the content...
Similar Documents
Endoscopy video frame classification using edge-based information analysis
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rangseekajee, Nicharee Phongsuphap, Sukanya |
| Copyright Year | 2011 |
| Abstract | Endoscopic surgery has brought about massive changes in cardiac and thoracic surgery. The therapeutic capabilities of endoscopy provide beneficial diagnosis and treatment for physician. Although, the endoscopic surgery shows a marked improvement in diagnosis and treatment, the endoscopy video still has some frames that contain no useful information. We need to distinguish the informative frames from the non-informative frames in order to utilize information from both of them for further operations for developing Computer Aided Diagnosis systems. This paper proposes a method based on edge information analysis to distinguish informative frames and non-informative frames by utilizing the Isolated Pixel Ratio Value (IPRV). The accuracy of the proposed method was remarkably higher than that of the other edge-based technique. Results indicate that the proposed method is an effective method for informative and non-informative thoracic endoscopy frame classification. |
| Starting Page | 549 |
| Ending Page | 552 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://cinc.org/archives/2011/pdf/0549.pdf |
| Alternate Webpage(s) | http://cinc.mit.edu/archives/2011/pdf/0549.pdf |
| Journal | 2011 Computing in Cardiology |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
