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Journal ArticleDOI

A new level set method for inhomogeneous image segmentation

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TLDR
A new level set method integrating local and global intensity information adaptively to segment inhomogeneous images to avoid the re-initialization of the level set function and shorten the computational time is proposed.
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This article is published in Image and Vision Computing.The article was published on 2013-10-01. It has received 72 citations till now. The article focuses on the topics: Image segmentation & Level set method.

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Citations
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Journal ArticleDOI

Deep Learning Classification for Diabetic Foot Thermograms.

TL;DR: This paper compares machine learning-based techniques with Deep Learning (DL) structures and designs a new DL-structure, which is trained from scratch and is able to reach higher values in terms of accuracy and other quality measures, highlighting their advantages and limitations.
Journal ArticleDOI

Morphological region-based initial contour algorithm for level set methods in image segmentation

TL;DR: Morphological Region-Based Initial Contour (MRBIC) is proposed, a new technique which is able to find the suitable IC on images to perform by level set methods and robustness of segmentation process using MRBIC method is demonstrated.
Journal ArticleDOI

A novel active contour model based on modified symmetric cross entropy for remote sensing river image segmentation

TL;DR: The proposed active contour model based on modified symmetric cross entropy can segment the images more accurately and rapidly and has the clear advantages in both segmentation performance and segmentation efficiency.
Journal ArticleDOI

Plantar Thermogram Database for the Study of Diabetic Foot Complications

TL;DR: The work describes the plantar thermogram acquisition protocol, including the acquisition system and the proper preparation of the subject, and presents a brief review of the techniques used in previous works for segmentation, registration and correction of feet posture.
Journal ArticleDOI

A novel active contour model for image segmentation using local and global region-based information

TL;DR: A truncated Gaussian kernel is used to regularize the level set function, which not only regularizes it but also removes the need for computationally expensive re-initialization.
References
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Journal ArticleDOI

Snakes : Active Contour Models

TL;DR: This work uses snakes for interactive interpretation, in which user-imposed constraint forces guide the snake near features of interest, and uses scale-space continuation to enlarge the capture region surrounding a feature.
Journal ArticleDOI

Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations

TL;DR: The PSC algorithm as mentioned in this paper approximates the Hamilton-Jacobi equations with parabolic right-hand-sides by using techniques from the hyperbolic conservation laws, which can be used also for more general surface motion problems.
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.
Journal ArticleDOI

Geodesic active contours

TL;DR: A novel scheme for the detection of object boundaries based on active contours evolving in time according to intrinsic geometric measures of the image, allowing stable boundary detection when their gradients suffer from large variations, including gaps.
Book

Level Set Methods and Dynamic Implicit Surfaces

TL;DR: A student or researcher working in mathematics, computer graphics, science, or engineering interested in any dynamic moving front, which might change its topology or develop singularities, will find this book interesting and useful.
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