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Journal ArticleDOI

Optical aerial image partitioning using level sets based on modified Chan-Vese model

TLDR
An optical aerial image partitioning method using level set evolution for an arbitrary number of regions and embark on the concept of using one level set function for each region in this paper.
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This article is published in Pattern Recognition Letters.The article was published on 2008-03-01. It has received 26 citations till now. The article focuses on the topics: Image segmentation & Aerial image.

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Citations
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Automatic Lung Segmentation With Juxta-Pleural Nodule Identification Using Active Contour Model and Bayesian Approach

TL;DR: A novel lung segmentation method to minimize the juxta-pleural nodule issue, a notorious challenge in the applications, and outperformed existing methods, such as the CV model used alone, the normalized CV model, and the snake algorithm.
Journal ArticleDOI

A novel active contour model for image segmentation using distance regularization term

TL;DR: The R-DRLSE model is a variational level set approach that utilizes the region information to find image contours by minimizing the presented energy functional in order to avoid the time-consuming re-initialization step.
Journal ArticleDOI

Active contour model driven by local histogram fitting energy

TL;DR: The method belongs to a nonparametric local region based active contour, and it can segment the regions whose distribution is hard to be predefined, and Experimental results show desirable performances of the method.
Journal ArticleDOI

The Mumford-Shah variational model for image segmentation: An overview of the theory, implementation and use

TL;DR: A maximum-likelihood based classifier has been concatenated to the Mumford–Shah model for the processing of a high-resolution orthophoto and the classified image has been compared against the output of the same classifier applied directly to the original Orthophoto.
Journal ArticleDOI

Semi-automatic detection of linear archaeological traces from orthorectified aerial images

TL;DR: A semi-automatic approach for archaeological traces detection from aerial images based on the multiphase active contour model (ACM) that was developed in a MATLAB environment and tested on high resolution orthorectified aerial images.
References
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Journal ArticleDOI

Active contours without edges

TL;DR: A new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level sets is proposed, which can detect objects whose boundaries are not necessarily defined by the gradient.
Book

Level set methods and fast marching methods : evolving interfaces in computational geometry, fluid mechanics, computer vision, and materials science

TL;DR: In this paper, the Hamilton-Jacobi equations and associated theory are used to formulate the interface propagation problem and then algorithms for the initial and boundary value formulations are proposed for semi-conductor manufacturing.
Journal ArticleDOI

A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model

TL;DR: A new multiphase level set framework for image segmentation using the Mumford and Shah model, for piecewise constant and piecewise smooth optimal approximations, and validated by numerical results for signal and image denoising and segmentation.
Journal ArticleDOI

A Variational Level Set Approach to Multiphase Motion

TL;DR: In this paper, a coupled level set method for the motion of multiple junctions (of, e.g., solid, liquid, and grain boundaries), which follows the gradient flow for an energy functional consisting of surface tension and bulk energies, is developed.
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