Automatic and robust single-camera specular highlight removal in cardiac images
2015
In computer-assisted beating heart surgeries, accurate tracking of the heart’s motion is of huge importance and there is a continuous need to eliminate any source of error that might disturb the tracking process. One source of error is the specular reflection that appears on the glossy surface of the heart. In this paper, we propose a robust solution for the detection and removal of specular highlights. A hybrid
color attributes and wavelet based edge projection approach is
applied to accurately identify the affected regions. These regions
are then recovered using a dynamic search-based inpainting
with adaptive windowing. Experimental results demonstrate the
precision and efficiency of the proposed method. Moreover, it
has a real-time performance and can be generalized to various
other applications.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
19
References
13
Citations
NaN
KQI