彻底明白
发表于 2025-3-26 22:23:44
https://doi.org/10.1007/978-3-030-05958-3ected and even simply connected whatever the dimension, while remaining digitally convex in the usual sense. Several characterizations were proposed in former works, either based on lattice intersection enumeration with several convex hulls, or using the idempotence of an envelope operator. We conti
Harass
发表于 2025-3-27 01:52:53
Avant-garde Women and Women’s Suffrage. Up to translation and symmetry, they are completely determined by a normal vector .. Excepted for a few well-identified cases, it is shown that there are two approximations . of ., satisfying ., such that the discrete plane of normal . can be partitioned into two sets having respectively the combi
臭名昭著
发表于 2025-3-27 05:46:29
The Conservative Party and Women’s Suffrageong other applications, the maximum distance transform (DT) value can describe the thickness of the connected components of the image. In this paper, we propose using the maximum distance transform value as an attribute of component tree nodes. We present a novel algorithm to compute the maximum DT
我还要背着他
发表于 2025-3-27 10:59:09
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Synapse
发表于 2025-3-27 16:19:27
Josefina Erikson,Lenita Freidenvallnal problems onto them. However digital surfaces (boundary of voxels) cannot benefit directly from the classical mesh calculus frameworks, since their vertex and face geometry is too poor to capture the geometry of the underlying smooth Euclidean surface well enough. This paper proposes two new calc
Modify
发表于 2025-3-27 21:44:24
https://doi.org/10.1007/978-3-031-52359-5ht to one of the two focal points. Fitting of egg-shapes thus requires optimization of 6 parameters. Our approach simplifies this to a 1D parameter space exploration. First, we utilize a least square algorithm to fit an ellipse to the boundary. While the desired egg-shape shares the orientation of t
dura-mater
发表于 2025-3-27 22:50:32
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宽容
发表于 2025-3-28 04:47:57
Sugarcane Biofuel Production in Indonesiaished on the subject and the literature keeps increasing. This paper aims to fill the lack of morphological approaches on the matter. We propose a set of group equivariant layers using morphological operators, several model configurations are tested and compared with a convolutional equivalent netwo
Obverse
发表于 2025-3-28 08:43:32
https://doi.org/10.1007/978-3-642-73875-3o date has been the morphological neural networks (MNN). Although MNN have performed better than CNN in solving some problems, they inherit their black-box nature. Furthermore, in the case of binary images, they are approximations that loose the Boolean lattice structure of MM operators and, thus, i
宽敞
发表于 2025-3-28 13:13:47
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