• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.8
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• pp.215-224
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• 2013

An efficient homography estimation method for large sized images is proposed. Estimating an accurate homography is one of the most important parts in image stitching processes. Since hardwares have been advanced, it has been passible to take higher resolution images. However, computational cost for estimating homography has been also increased. Specifically, when too many features exist in the images, it requires lots of computations to estimate a correct homography. Furthermore, there is a high probability of obtaining an incorrect homography. Therefore, we propose a numerical method to extract the appropriate correspondences from several down-scaled images to estimate and compensate the homography numerically for restoring an original homography. Also, if there is an unbalance in color tone between the reference and the target images, we make them balanced by using local information of the overlapped regions. Experimental results show that proposed method is three times faster in 3.2 mega pixel images, five times faster in 8mega pixel images than the conventional approach. Therefore, we believe that the proposed method can be a useful tool to efficiently estimate a homography.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.5
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• pp.1193-1198
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• 2009

Pulse diagnosis is a central diagnosis method used in traditional Oriental medicine. To standardize and modernize the pulse diagnosis method, it is essential to develop an instrument-based reinterpretation of the clinically used pulse images in terms of the physical quantities such as the strength, period, width, length, and depth of the pulse. As a step towards such standardization, we conducted a clinical study on the floating/sinking pulses based on an automated palpation instrument (3D-MAC, Daeyo Medi, Korea) for 213 female subjects in their 20s and 174 female subjects in their 60s. The floating/sinking pulses are the two representative pulse images depending only on the depth of the pulse, and can be conveniently scaled by the coefficient of the floating-sinking pulse ($C_{fs}{\in}(0,1)$), which represents how strong one should apply the hold-down pressure to obtain the maximal pulse strength. As a result, primarily we found that it tends to appear more floating-like pulse ($C_{fs}{\rightarrow}0$) at Gwan and more sinking-like pulse ($C_{fs}{\rightarrow}1$) at Cheek, at both age groups and at both wrists. This result is consistent with a previous study on the geometrical structure of the blood vessel by an ultrasonograph. Second, the pulse tends to be more sinking-like in the age group of 60s than 20s. Finally, the pulses at the right palpation positions were found to be more sinking-like than the left, at both age groups.