A morphological approach to piecewise constant active contour model incorporated with the geodesic edge term
Sign Up to like & getrecommendations! Published in 2020 at "Machine Vision and Applications"
DOI: 10.1007/s00138-020-01083-4
Abstract: Traditional level set-based image segmentation method has to solve the level set evolution equation which is the Euler–Lagrange equation of the energy functional defined on the image domain. Solving level set evolution equation is very… read more here.
Keywords: piecewise constant; active contour; model; constant active ... See more keywords
A fuzzy energy-based active contour model with adaptive contrast constraint for local segmentation
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-017-1134-3
Abstract: Image segmentation is to divide an image into different parts or extract some interested objects. Active contour model and fuzzy clustering are two widely used segmentation methods, which have been integrated into an effective model… read more here.
Keywords: segmentation; local segmentation; model; active contour ... See more keywords
A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosis
Sign Up to like & getrecommendations! Published in 2017 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2017.07.005
Abstract: The diagnostic of the vestibular neuritis (VN) presents many difficulties to traditional assessment methods This paper deals with a fully automatic VN diagnostic system based on nystagmus parameter estimation using a pupil detection algorithm. A… read more here.
Keywords: estimation; parameter estimation; vestibular neuritis; active contour ... See more keywords
A novel myocardium segmentation approach based on neutrosophic active contour model
Sign Up to like & getrecommendations! Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2017.02.020
Abstract: BACKGROUND AND OBJECTIVES Automatic delineation of the myocardium in echocardiography can assist radiologists to diagnosis heart problems. However, it is still challenging to distinguish myocardium from other tissue due to a low signal-to-noise ratio, low… read more here.
Keywords: contour model; active contour; method; myocardium ... See more keywords
Active contour model based on LIF model and optimal DoG operator energy for image segmentation
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DOI: 10.1016/j.ijleo.2019.163667
Abstract: Abstract In order to solve the problem that the region-based active contour model is sensitive to the initial contour position, the convergence is poor, and the active contour model can not obtain good segmentation results… read more here.
Keywords: energy; segmentation; model; active contour ... See more keywords
Frequency-tuned active contour model
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DOI: 10.1016/j.neucom.2017.11.003
Abstract: Abstract Active contour model (ACM) is able to obtain sub-pixel precision segmentation and has been widely employed in biomedical image analysis and video segmentation. Existing region-based ACMs (RACM) without enough prior constraints, however, easily fail when segmenting… read more here.
Keywords: frequency; segmentation; model; active contour ... See more keywords
A robust active contour model driven by pre-fitting bias correction and optimized fuzzy c-means algorithm for fast image segmentation
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DOI: 10.1016/j.neucom.2019.06.019
Abstract: Abstract Active contour model (ACM) is an effective method for image segmentation that has been widely used in various research fields. For images with severe intensity inhomogeneity, most existing ACMs show a poor segmentation performance.… read more here.
Keywords: active contour; model; bias correction; contour model ... See more keywords
Active contour model based on fuzzy c‐means for image segmentation
Sign Up to like & getrecommendations! Published in 2019 at "Electronics Letters"
DOI: 10.1049/el.2018.5307
Abstract: In this Letter, the authors propose an active contour model based on the fuzzy c-means method. Using fuzzy c-means to calculate the values of two types of cluster centres for all points in the image… read more here.
Keywords: active contour; fuzzy means; model based; model ... See more keywords
An Active Contour Model Based on Region Based Fitting Terms Driven by p-Laplace Length Regularization
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DOI: 10.1109/access.2018.2874812
Abstract: In this paper, we propose a partial differential equation structure that permits an active contour method to obtain intensity inhomogeneous image segmentation. We consider fitted model comprised of local and global energy functions dictated by… read more here.
Keywords: bias field; model; active contour; length regularization ... See more keywords
Fuzzy Active Contour Model With Markov Random Field for Change Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192967
Abstract: The traditional active contour models are sensitive to the speckle noise in the synthetic aperture radar (SAR) images. In this paper, the Markov random field (MRF) theory is incorporated into the fuzzy active contour model… read more here.
Keywords: change detection; contour; contour model; fuzzy active ... See more keywords
Fast implicit active contour model for inverse lithography.
Sign Up to like & getrecommendations! Published in 2021 at "Optics express"
DOI: 10.1364/oe.418300
Abstract: We combine the ideas from level-set methods in computer vision and inverse imaging to derive a generalized active contour model for inverse lithography problems endowed with a locally implemented semi-implicit difference scheme. We introduce a… read more here.
Keywords: model inverse; inverse lithography; active contour; inverse ... See more keywords