Guileless 发表于 2025-3-27 00:56:25
http://reply.papertrans.cn/29/2812/281116/281116_31.png蛛丝 发表于 2025-3-27 04:29:29
http://reply.papertrans.cn/29/2812/281116/281116_32.png存心 发表于 2025-3-27 06:18:25
One More Step Towards Well-Composedness of Cell Complexes over nD Picturesvious work we proved that if an nD picture . is digitally well composed (DWC) then the cubical complex .(.) associated to . is wWC. If . is not DWC, we proposed a combinatorial algorithm to “locally repair” .(.) obtaining an nD pure simplicial complex . homotopy equivalent to .(.) which is always wWBLA 发表于 2025-3-27 09:55:50
http://reply.papertrans.cn/29/2812/281116/281116_34.png光滑 发表于 2025-3-27 14:57:37
http://reply.papertrans.cn/29/2812/281116/281116_35.pnggain631 发表于 2025-3-27 19:12:15
Graph-Based Segmentation with Local Band Constraintsbject. In this work, we present a novel shape constraint, named Local Band constraint (.), for the generalized graph-cut framework, which in its limit case is strongly related to the Boundary Band constraint, preventing the generated segmentation to be irregular in relation to the level sets of a giIncise 发表于 2025-3-27 23:17:17
A Study of Observation Scales Based on Felzenswalb-Huttenlocher Dissimilarity Measure for Hierarchictations at finer levels are nested with respect to those at coarser levels. Guimarães . proposed a hierarchical graph based image segmentation (HGB) method based on the Felzenszwalb-Huttenlocher dissimilarity. This HGB method computes, for each edge of a graph, the minimum scale in a hierarchy at wh彩色的蜡笔 发表于 2025-3-28 05:25:28
http://reply.papertrans.cn/29/2812/281116/281116_38.pngOmniscient 发表于 2025-3-28 08:24:55
http://reply.papertrans.cn/29/2812/281116/281116_39.pngBoycott 发表于 2025-3-28 13:27:07
Distance Transform Based on Weight Sequencesnequality. In this paper, continuing the research, we provide a sufficient condition for weight sequences to provide metric distance. Further, we present an algorithm to compute the distance transform based on these distances. Optimization results are also shown for the approximation of the Euclidea