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Titlebook: Computer Analysis of Images and Patterns; 18th International C Mario Vento,Gennaro Percannella Conference proceedings 2019 Springer Nature

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51#
發(fā)表于 2025-3-30 10:50:08 | 只看該作者
A Compact Light Field Camera for Real-Time Depth Estimationches demonstrate the technical feasibility, they can not be brought into real-world application, since they have both a high computation time as well as a large design. Exactly these two drawbacks are overcome in this paper. For the first time, we present a depth camera based on the light field prin
52#
發(fā)表于 2025-3-30 13:48:52 | 只看該作者
53#
發(fā)表于 2025-3-30 17:19:55 | 只看該作者
54#
發(fā)表于 2025-3-30 23:59:24 | 只看該作者
Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Boundhen studying Inorganic nanoparticles using TEM is the automated analysis of the images, i.e. segmentation of individual nanoparticles. The current state-of-the-art methods generally rely on binarization routines that require parameterization, and on methods to segment the overlapping nanoparticles (
55#
發(fā)表于 2025-3-31 03:40:05 | 只看該作者
A Fractal-Based Approach to Network Characterization Applied to Texture Analysisdeled as a network. Then, the network is converted into a surface where the Cartesian coordinates and the vertex degree is mapped into a 3D point in the surface. Then, we calculate a description vector of this surface using a method inspired by the Bouligand-Minkowski technique for estimating the fr
56#
發(fā)表于 2025-3-31 05:36:37 | 只看該作者
Binary Tomography Using Variants of Local Binary Patterns as Texture Priorsdetermined and one way to reduce the search space of feasible solutions is to exploit some prior knowledge of the image to be reconstructed. We use texture information extracted from sample image patches as prior knowledge. Experimental results show that this approach can retain the structure of the
57#
發(fā)表于 2025-3-31 10:07:44 | 只看該作者
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