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Active contours driven by Cuckoo Search strategy for brain tumour images segmentation
In this paper, an alternative Active Contour Model (ACM) driven by Multi-population Cuckoo
Search (CS) algorithm is introduced. This strategy assists the converging of control points …
Search (CS) algorithm is introduced. This strategy assists the converging of control points …
An edge-based active contour model using an inflation/deflation force with a dam** coefficient
This publication presents an edge-based active contour model using the inflation/deflation
force, allowing active contour nodes to be moved to find object boundaries in a digital …
force, allowing active contour nodes to be moved to find object boundaries in a digital …
A two-stage image segmentation via global and local region active contours
Based on popular active contours, this paper proposes a novel two-stage image
segmentation method, which incorporates the global and local image region fitting energies …
segmentation method, which incorporates the global and local image region fitting energies …
Active contour model driven by self organizing maps for image segmentation
B Dong, G Weng, R ** - Expert Systems with Applications, 2021 - Elsevier
Supervised active contour models can use information extracted from supervised samples to
guide contour evolution. However, their applicability is limited by the accuracy of the …
guide contour evolution. However, their applicability is limited by the accuracy of the …
TASOM: a new time adaptive self-organizing map
The time adaptive self-organizing map (TASOM) network is a modified self-organizing map
(SOM) network with adaptive learning rates and neighborhood sizes as its learning …
(SOM) network with adaptive learning rates and neighborhood sizes as its learning …
An efficient Self-Organizing Active Contour model for image segmentation
Abstract Active Contour Models (ACMs) constitute a powerful energy-based minimization
framework for image segmentation, based on the evolution of an active contour. Among …
framework for image segmentation, based on the evolution of an active contour. Among …
Fast and robust object region segmentation with self-organized lattice Boltzmann based active contour method
We propose an approach leveraging the power of self-organizing maps (SOMs) in
conjunction with a multiscale local image fitting (LIF) level-set function to enhance the …
conjunction with a multiscale local image fitting (LIF) level-set function to enhance the …
A TASOM-based algorithm for active contour modeling
Active contour modeling is a powerful technique for modeling object boundaries. Various
methods introduced for this purpose, however, have certain difficulties such as getting stuck …
methods introduced for this purpose, however, have certain difficulties such as getting stuck …
A Survey of SOM-Based Active Contour Models for Image Segmentation
Abstract Self Organizing Maps (SOM s) have attracted the attention of many computer vision
scientists, particularly when dealing with image segmentation as a contour extraction …
scientists, particularly when dealing with image segmentation as a contour extraction …
A SOM-based Chan–Vese model for unsupervised image segmentation
Abstract Active Contour Models (ACM s) constitute an efficient energy-based image
segmentation framework. They usually deal with the segmentation problem as an …
segmentation framework. They usually deal with the segmentation problem as an …