Results 21 to 30 of about 488,489 (323)

Image segmentation based on improved OSV decomposition model

open access: yesXi'an Gongcheng Daxue xuebao, 2022
A new multi-region image segmentation model based on improved OSV image decomposition was proposed for the coexistence of image structure and texture components. The model preserved the divergence-free vector field of texture image, combined multi-region
GUO Yuying   +4 more
doaj   +1 more source

Image segmentation techniques

open access: yesComputer Vision, Graphics, and Image Processing, 1984
There are now a wide Abstract There are now a wide variety of image segmentation techniques, some considered general purpose and some designed for specific classes of images. These techniques can be classified as: measurement space guided spatial clustering, single linkage region growing schemes, hybrid linkage region growing schemes, centroid linkage ...
Linda G. Shapiro, Robert M. Haralick
openaire   +3 more sources

Estimation of Depth Information of Image Based on Energy Distribution

open access: yesChemical Engineering Transactions, 2015
Image segmentation is an effective way to analysis image, which has received more and more attention. The traditional image segmentation technology can't get the result of the semantic image segmentation.
J.Y. Li, Q.B. Yuan
doaj   +1 more source

Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning [PDF]

open access: yesPeerJ, 2022
Polarimetric SAR (PolSAR) image segmentation is a key step in its interpretation. For the targets with time series changes, the single-temporal PolSAR image segmentation algorithm is difficult to provide correct segmentation results for its target ...
Caiqiong Wang   +4 more
doaj   +2 more sources

Survey of Image Semantic Segmentation Methods Based on Deep Neural Network

open access: yesJisuanji kexue yu tansuo, 2021
Image semantic segmentation is a hot research topic in the field of computer vision in recent years. With the rise of deep learning technology, image semantic segmentation and deep learning technology are integrated and developed, which has made ...
XU Hui, ZHU Yuhua, ZHEN Tong, LI Zhihui
doaj   +1 more source

Spillover and crossover effects of exposure to work‐related aggression and adversities: A dyadic diary study

open access: yesAggressive Behavior, Volume 49, Issue 1, Page 85-95, January 2023., 2023
Abstract The past two decades have produced extensive evidence on the manifold and severe outcomes for victims of aggression exposure in the workplace. However, due to the dominating individual‐centered approach, most findings miss a social network perspective.
Alexander Herrmann   +2 more
wiley   +1 more source

COMP Report: CPQR technical quality control guidelines for use of positron emission tomography/computed tomography in radiation treatment planning

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein   +7 more
wiley   +1 more source

Multiple Image Segmentation [PDF]

open access: yes, 2015
We propose a method for the simultaneous construction of multiple segmentations of images by combining a recently proposed “convolution of mixtures of Gaussians” model with a multi-layer hidden Markov random field structure. The resulting method constructs for a single image several, alternative segmentations that capture different structural elements ...
Smets, Jonathan, Jaeger, Manfred
openaire   +2 more sources

Uniqueness of radiomic features in non‐small cell lung cancer

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley   +1 more source

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