TY - GEN
T1 - An efficient mosaic panorama technique for medical video
AU - Zhao, Xin Bo
AU - Zou, Xiao Chun
AU - Zheng, Jiang Bin
PY - 2010
Y1 - 2010
N2 - Mosaic panorama technique is an active area of research. Image mosaic is brought for the limitation of camera visual angle, which is impossible to shoot a panorama image once. If a medical video sequence is recorded with a rotational camera, it is possible to reconstruct a panorama of the scene background. Generally, the significances of this synthetic panorama can be explained as follows: Firstly, increasing the angle of the optics system view, for example, the medical panorama enables an easy segmentation algorithm that detects the foreground objects based on the differences to this background image, such as the analysis of common injuries of sportsmen. Secondly, the panorama can be used for image examining, editing, analysis and understanding, for example, the panorama can be used together with the MPEG-4 sprite coding tools to transmit the background content of a medical video scene with a very low bit-rate, such as remote diagnosis. Thirdly, the virtual reality system can use the panorama to appear the virtual medical 3-D environment. So the research of such an efficient video mosaic panorama technique is necessary and possible. The technique employs the feature-based motion estimator to estimate the video motion model parameters. Thus, we can use the result to compose the panorama. After that, for the purpose of removing the foreground objects, we use the panorama estimation process. The test results showed that the proposed technique is efficient.
AB - Mosaic panorama technique is an active area of research. Image mosaic is brought for the limitation of camera visual angle, which is impossible to shoot a panorama image once. If a medical video sequence is recorded with a rotational camera, it is possible to reconstruct a panorama of the scene background. Generally, the significances of this synthetic panorama can be explained as follows: Firstly, increasing the angle of the optics system view, for example, the medical panorama enables an easy segmentation algorithm that detects the foreground objects based on the differences to this background image, such as the analysis of common injuries of sportsmen. Secondly, the panorama can be used for image examining, editing, analysis and understanding, for example, the panorama can be used together with the MPEG-4 sprite coding tools to transmit the background content of a medical video scene with a very low bit-rate, such as remote diagnosis. Thirdly, the virtual reality system can use the panorama to appear the virtual medical 3-D environment. So the research of such an efficient video mosaic panorama technique is necessary and possible. The technique employs the feature-based motion estimator to estimate the video motion model parameters. Thus, we can use the result to compose the panorama. After that, for the purpose of removing the foreground objects, we use the panorama estimation process. The test results showed that the proposed technique is efficient.
UR - https://www.scopus.com/pages/publications/77957777696
U2 - 10.1109/ICCME.2010.5558876
DO - 10.1109/ICCME.2010.5558876
M3 - 会议稿件
AN - SCOPUS:77957777696
SN - 9781424468430
T3 - 2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010
SP - 40
EP - 44
BT - 2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010
T2 - 2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010
Y2 - 13 July 2010 through 15 July 2010
ER -