Results 31 to 40 of about 340,289 (296)
The Empirical Watershed Wavelet
Journal of Imaging, 2020 The empirical wavelet transform is an adaptive multi-resolution analysis tool based on the idea of building filters on a data-driven partition of the Fourier domain.
Basile Hurat +2 more
doaj +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We formulate an energy for segmentation that is designed to have preference for segmenting the coarse over fine structure of the image, without smoothing across boundaries of regions. The energy is formulated by integrating a continuum of scales from a scale space computed from the heat equation within regions.
Anthony Yezzi +3 more
openaire +2 more sources
A Watershed-Segmentation-Based Improved Algorithm for Extracting Cultivated Land Boundaries
Remote Sensing, 2021 To accurately extract cultivated land boundaries based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm was proposed herein based on a combination of pre- and post-improvement procedures.
Yongan Xue, Jinling Zhao, Mingmei Zhang
doaj +1 more source
Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds [PDF]
, 2012 A novel multi-scale operator for unorganized 3D point clouds is introduced. The Difference of Normals (DoN) provides a computationally efficient, multi-scale approach to processing large unorganized 3D point clouds.
, +4 more
core +1 more source
International Journal of Applied Earth Observations and Geoinformation, 2021 Although many notable improvements have been devoted to the semantic segmentation of laser scanning (LS) data, the extreme complexity of scanned scenes poses significant challenges in achieving the effective distribution of a category label per point ...
Tengping Jiang +5 more
doaj +1 more source
An Alarm System For Segmentation Algorithm Based On Shape Model
, 2019 It is usually hard for a learning system to predict correctly on rare events that never occur in the training data, and there is no exception for segmentation algorithms. Meanwhile, manual inspection of each case to locate the failures becomes infeasible
Liu, Fengze +4 more
core +1 more source
Joint Object and Part Segmentation using Deep Learned Potentials [PDF]
, 2015 Segmenting semantic objects from images and parsing them into their respective semantic parts are fundamental steps towards detailed object understanding in computer vision. In this paper, we propose a joint solution that tackles semantic object and part
Cohen, Scott +5 more
core +1 more source
3D-BEVIS: Bird's-Eye-View Instance Segmentation
, 2019 Recent deep learning models achieve impressive results on 3D scene analysis tasks by operating directly on unstructured point clouds. A lot of progress was made in the field of object classification and semantic segmentation.
A Dai +4 more
core +1 more source
Image segmentation with adaptive region growing based on a polynomial surface model [PDF]
, 2013 A new method for segmenting intensity images into smooth surface segments is presented. The main idea is to divide the image into flat, planar, convex, concave, and saddle patches that coincide as well as possible with meaningful object features in the ...
Deboeverie, Francis +2 more
core +1 more source