By Xiaoyi Jiang, Mohammad Dawood, Fabian Gigengack (auth.), Richard Wilson, Edwin Hancock, Adrian Bors, William Smith (eds.)
The quantity set LNCS 8047 and 8048 constitutes the refereed court cases of the fifteenth foreign convention on desktop research of pictures and styles, CAIP 2013, held in York, united kingdom, in August 2013. The 142 papers offered have been conscientiously reviewed and chosen from 243 submissions. The scope of the convention spans the next parts: 3D television, biometrics, colour and texture, rfile research, graph-based tools, picture and video indexing and database retrieval, picture and video processing, image-based modeling, kernel tools, scientific imaging, cellular multimedia, model-based imaginative and prescient techniques, movement research, usual computation for electronic imagery, segmentation and grouping, and form illustration and analysis.
Read Online or Download Computer Analysis of Images and Patterns: 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part I PDF
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Extra info for Computer Analysis of Images and Patterns: 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part I
Indeed, Eq. (12) can also be derived from Eq. (6), see . Both registration and optical ﬂow methods give us a powerful tool for solving mass-preserving motion estimation problems. 2 Histogram-Based Optical Flow Multiplicative speckle noise (cf. Figure 1d) is characteristic for diagnostic ultrasound imaging. The origin of speckle are tiny inhomogeneities within the tissue, which reﬂect ultrasound waves but cannot be resolved by the ultrasound system. , the noise variance directly depends on the underlying signal intensity.
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152–159. Springer, Heidelberg (2013) 30. : Interactive segmentation of non-star-shaped contours by dynamic programming. Pattern Recognition 44(9), 2008–2016 (2011) 31. : Image enhancement for tracking the translucent larvae of drosophila melanogaster. PLoS ONE 5(12), e15259 (2010) 32. : Optimal surface segmentation in volumetric images - a graph-theoretic approach. IEEE Trans. on Pattern Analysis and Machine Intelligence 28(1), 119–134 (2006) 33. : Optical ﬂow estimation for a periodic image sequence.