Automatic multisegmentation of abdominal organs by level set with weighted global and local forces

2016 ◽  
Author(s):  
Malinda Vania ◽  
Sunhee Kim ◽  
Deukhee Lee
Keyword(s):  
Level Set ◽  
Abdominal Organs ◽  
Global And Local

scholarly journals A Level Set Method for Infrared Image Segmentation Using Global and Local Information

2018 ◽  
Vol 10 (7) ◽  
pp. 1039 ◽  
Author(s):  
Minjie Wan ◽  
Guohua Gu ◽  
Jianhong Sun ◽  
Weixian Qian ◽  
Kan Ren ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set ◽  
Infrared Image ◽  
Local Information ◽  
Global And Local ◽  
Infrared Image Segmentation

A LEVEL-SET METHOD BASED ON GLOBAL AND LOCAL REGIONS FOR IMAGE SEGMENTATION

2012 ◽  
Vol 26 (01) ◽  
pp. 1255004 ◽  
Author(s):  
YU QIAN ZHAO ◽  
XIAO FANG WANG ◽  
FRANK Y. SHIH ◽  
GANG YU
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set ◽  
Outer Region ◽  
Descent Method ◽  
Gaussian Kernel ◽  
Gradient Descent Method ◽  
Low Contrast ◽  
Global And Local ◽  
Cv Model

This paper presents a new level-set method based on global and local regions for image segmentation. First, the image fitting term of Chan and Vese (CV) model is adapted to detect the image's local information by convolving a Gaussian kernel function. Then, a global term is proposed to detect large gradient amplitude at the outer region. The new energy function consists of both local and global terms, and is minimized by the gradient descent method. Experimental results on both synthetic and real images show that the proposed method can detect objects in inhomogeneous, low-contrast, and noisy images more accurately than the CV model, the local binary fitting model, and the Lankton and Tannenbaum model.

Level Set Prior Shape Model in Face Recognition

2014 ◽  
Vol 687-691 ◽  
pp. 3901-3904
Author(s):  
Rong Guo Zhang ◽  
Lei Dong ◽  
Qi Rui Ge ◽  
Xiao Jun Liu
Keyword(s):  
Face Recognition ◽  
Level Set ◽  
Translation Invariance ◽  
Shape Information ◽  
Shape Model ◽  
Face Images ◽  
Face Contour ◽  
Global And Local ◽  
Prior Shape ◽  
Scale Shear

Combining level set image segmentation with the prior shape information, we proposed an improved prior shape model in face recognition. Firstly, we introduced a local tensile invariant to X and Y direction and a shear invariant based on the shape statistics. Then, shape energy term with rotation, scale, shear and translation invariance was reconstructed in level set C-V model. The new model considers global and local image change and makes face contour evolving stably. Experimental results demonstrate that our model can segment obscured face images effectively.

Sunspot Groups as Tracers of Sub-Surface Processes

2000 ◽  
Vol 179 ◽  
pp. 155-160
Author(s):  
M. H. Gokhale
Keyword(s):  
Magnetic Flux ◽  
Indian Institute ◽  
Surface Processes ◽  
The Sun ◽  
Global And Local ◽  
Sunspot Groups

AbstractData on sunspot groups have been quite useful for obtaining clues to several processes on global and local scales within the sun which lead to emergence of toroidal magnetic flux above the sun’s surface. I present here a report on such studies carried out at Indian Institute of Astrophysics during the last decade or so.

Establishing global and local coherence in discourse processing: Evidence from fMRI

2009 ◽  
Author(s):  
Paul van den Broek ◽  
Ben Seipel ◽  
Virginia Clinton ◽  
Edward J. O'Brien ◽  
Philip Burton ◽  
...  
Keyword(s):  
Discourse Processing ◽  
Local Coherence ◽  
Global And Local

Coral husbandry for ocean futures: leveraging abiotic factors to increase survivorship, growth, and resilience in juvenile Montipora capitata

2021 ◽  
Vol 657 ◽  
pp. 123-133
Author(s):  
JR Hancock ◽  
AR Barrows ◽  
TC Roome ◽  
AS Huffmyer ◽  
SB Matsuda ◽  
...  
Keyword(s):  
Abiotic Factors ◽  
Larval Rearing ◽  
Abiotic Conditions ◽  
Montipora Capitata ◽  
Reef Restoration ◽  
Juvenile Corals ◽  
Bleaching Response ◽  
The Face ◽  
Survival And Growth ◽  
Global And Local

Reef restoration via direct outplanting of sexually propagated juvenile corals is a key strategy in preserving coral reef ecosystem function in the face of global and local stressors (e.g. ocean warming). To advance our capacity to scale and maximize the efficiency of restoration initiatives, we examined how abiotic conditions (i.e. larval rearing temperature, substrate condition, light intensity, and flow rate) interact to enhance post-settlement survival and growth of sexually propagated juvenile Montipora capitata. Larvae were reared at 3 temperatures (high: 28.9°C, ambient: 27.2°C, low: 24.5°C) for 72 h during larval development, and were subsequently settled on aragonite plugs conditioned in seawater (1 or 10 wk) and raised in different light and flow regimes. These juvenile corals underwent a natural bleaching event in Kāne‘ohe Bay, O‘ahu, Hawai‘i (USA), in summer 2019, allowing us to opportunistically measure bleaching response in addition to survivorship and growth. This study demonstrates how leveraging light and flow can increase the survivorship and growth of juvenile M. capitata. In contrast, larval preconditioning and substrate conditioning had little overall effect on survivorship, growth, or bleaching response. Importantly, there was no optimal combination of abiotic conditions that maximized survival and growth in addition to bleaching tolerances. This study highlights the ability to tailor sexual reproduction for specific restoration goals by addressing knowledge gaps and incorporating practices that could improve resilience in propagated stocks.

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