Mystic 发表于 2025-3-25 05:40:17
http://reply.papertrans.cn/16/1502/150109/150109_21.pngOTHER 发表于 2025-3-25 10:37:59
https://doi.org/10.1007/978-3-031-05839-4volume data. Our method constructs a low-resolution graph which represents a coarser resolution of the data. This graph enables the user to interactively sample and edit a feature of interest by drawing strokes on data slices. A subgraph representing the feature is derived with a growing process, an不真 发表于 2025-3-25 14:46:58
Beate Jelstad Løvaas,Gry Espedaled Self-organizing Deformable Model(SDM), is deformed so that the shape of the model is fitted to the target object. We introduce an idea of combining a competitive learning and an energy minimization into the SDM deformation. Our method is a powerful tool in the areas of computer vision and computeMAL 发表于 2025-3-25 18:54:58
The Number of Gaps in Binary Pictures,rial topology of binary pictures). We obtain a formula for the total number of gaps as a function of the number of object pixels (grid squares), vertices (corners of grid squares), holes, connected components, and 2 × 2 squares of pixels. It can be used to test a binary picture (or just one region: e.g., a digital curve) for gap-freeness.Contracture 发表于 2025-3-25 21:42:17
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http://reply.papertrans.cn/16/1502/150109/150109_26.pngALIEN 发表于 2025-3-26 07:36:34
https://doi.org/10.1007/978-94-011-2060-9-controlled watershed region merging process is incorporated with domain knowledge. A min-cut criterion for region merging is proposed. This approach is effectively applied to the interactive 3D heart chamber partitioning.Atrium 发表于 2025-3-26 10:43:46
http://reply.papertrans.cn/16/1502/150109/150109_28.png过度 发表于 2025-3-26 15:04:56
http://reply.papertrans.cn/16/1502/150109/150109_29.png压倒性胜利 发表于 2025-3-26 20:50:50
,Retinal Image Registration for NIH’s ETDRS, estimation. Third, we use two types of features (feature-based), landmark points and sampling points, for affine/quadratic model estimation. Simulation on 504 pairs of ETDRS retinal images shows the effectiveness of the proposed algorithm.