Results 241 to 250 of about 572,802 (294)

Region-to-boundary deep learning model with multi-scale feature fusion for medical image segmentation

Biomedical Signal Processing and Control, 2022
Accurately locating and segmenting lesions, organs, and tissues from medical images are necessary prerequisites for disease diagnosis, monitoring, and treatment planning.
Xiaowei Liu, Lei Yang, Jianguo Chen, Si-yang Yu, Keqin Li   +4 more
semanticscholar   +1 more source

The Segmentation of Images via Scale-Space Trees

Procedings of the British Machine Vision Conference 1998, 1998
A useful representation of an image would be an object tree in which nodes represent objects, or parts of objects, and which includes at least one node that, together with its children, represents each object: a grandmothernode. It is shown that scale-trees, obtained from greyscale images, approximate such a tree.
J. Andrew Bangham, Javier Ruiz Hidalgo, Richard W. Harvey, Gavin C. Cawley   +3 more
openaire   +1 more source

Motion-driven object segmentation in scale-space

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
In this paper we present a method for motion segmentation, in which accurate grouping of pixels undergoing the same motion is targeted. In the presented technique true object edges are first obtained by combining anisotropic diffusion of the original image with edge detection and contour reconstruction in the inherent scale-space.
Ebroul Izquierdo, Mohammed Ghanbari 0001
openaire   +1 more source

Segmenting multisensor aerial images in class–scale space

Pattern Recognition, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Brian Lofy, Jack Sklansky
openaire   +2 more sources

Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation

IEEE transactions on circuits and systems for video technology (Print), 2021
Learning and extracting high-level features from point cloud is the key to improving the segmentation performances on point clouds for many networks. At present, many networks present very deep structures to extract high-level features for 3D perception.
Dawei Li, Guoliang Shi, Yuhao Wu, Yanping Yang, Mingbo Zhao   +4 more
semanticscholar   +1 more source

Scale Space Hierarchy of Segments

2009
In this paper, we develop a segmentation algorithm using configurations of singular points in the linear scale space. We define segment edges as a zero-crossing set in the linear scale space using the singular points. An image in the linear scale space is the convolution of the image and the Gaussian kernel.
Haruhiko Nishiguchi, Atsushi Imiya, Tomoya Sakai 0002   +2 more
openaire   +1 more source

Scale-space characteristics for image segmentation

Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239), 2002
For successful image segmentation, it is vital to discover optimal discriminating features that contrast one region from the other, or contrast salient edges from the background. We propose a new method for image segmentation based on three discriminating features: average gradient magnitude, uniformity of gradient magnitude and uniformity of gradient ...
M. Rahman, null Wang Yin Chai, A. Abdessealm   +2 more
openaire   +1 more source

Bifurcation of Segment Edge Curves in Scale Space

2012
In this paper, we aim to develop a criterion to select scale parameters, which control pre-smoothing for edge detection. We first formalise the Canny edge detector which extracts the zeros of bilinear form of the first- and the second-order derivatives of image intensity.
Tomoya Sakai 0002, Haruhiko Nishiguchi, Hayato Itoh, Atsushi Imiya   +3 more
openaire   +1 more source

An Idempotent Scale-Space Approach for Morphological Segmentation

2005
This work constitutes a first approach on image segmentation based on the recently proposed morphological scale-space theory. We introduce an idempotent smoot hing operation, in the corresponding scale-space, and analyze some of its main features concerning the monotonicity of the image extrema and the way these extrema merge in a multiscale ...
Neucimar J. Leite, Marta D. Teixeira
openaire   +1 more source

Acoustic-phonetic segment classification and scale-space filtering

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Scale-space filtering represents one method for automatically extracting both coarse and fine-grained units from the speech signal. We examine the acoustic-phonetic structure of segments obtained by scale-space filtering of cochleagrams, and report on the correspondences between scale-space segments which are automatically derived and hand-marked ...
Meg Withgott, Steven C. Bagley, Richard F. Lyon, Marcia A. Bush   +3 more
openaire   +1 more source