Automatic and robust single-camera specular highlight removal in cardiac images
Document typeConference lecture
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
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.
CitationAlsaleh, S., Avilés, A., Sobrevilla, P., Casals, A., Hahn, J. Automatic and robust single-camera specular highlight removal in cardiac images. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015): Milan, Italy: 25-29 August 2015". Milan: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 675-678.
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