Abstract | ||
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Colonoscopy is currently one of the best methods to detect colorectal cancer. Nowadays, one of the widely used colonoscopes has a monochrome chipset recording successively at 60 Hz R, G, and B components merged into one color video stream. Misalignments of the channels occur each time the camera moves, and this artefact impedes both online visual inspection by doctors and offline computer analysis of the image data. We propose to restore this artefact by first equalizing the color channels and then performing a robust camera motion estimation and compensation. |
Year | DOI | Venue |
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2008 | 10.1155/2008/139429 | EURASIP J. Image and Video Processing |
Keywords | Field | DocType |
robust camera motion estimation,camera move,image data,color channel,hz r,color colonoscopy video,monochrome chipset recording,colorectal cancer,b component,best method,color video stream | Computer vision,Visual inspection,Pattern recognition,Computer science,Monochrome,Colonoscopes,Image processing,Communication channel,Artificial intelligence,Motion estimation,Chipset,Channel (digital image) | Journal |
Volume | Issue | ISSN |
2008, | 1 | 1687-5281 |
Citations | PageRank | References |
5 | 0.62 | 9 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rozenn Dahyot | 1 | 340 | 32.62 |
Fernando Vilariño | 2 | 263 | 22.08 |
Gerard Lacey | 3 | 171 | 22.17 |