Results 41 to 50 of about 5,060,163 (327)
Active contours based on weighted gradient vector flow and balloon forces for medical image segmentation [PDF]
, 2014 Active contours, or snakes, have been widely used for image segmentation purposes. However, high noise sensitivity and poor performance over weak edges are the most acute issues that hinder the segmentation accuracy of these curves, particularly in ...
Victor Sanchez +5 more
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Achieving the Way for Automated Segmentation of Nuclei in Cancer Tissue Images through Morphology-Based Approach: a Quantitative Evaluation [PDF]
, 2010 In this paper we address the problem of nuclear segmentation in cancer tissue images, that is critical for specific protein activity quantification and for cancer diagnosis and therapy.
MACII E. +4 more
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Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters [PDF]
, 2012 In this paper, local distributions of low order Gaussian Markov Random Field (GMRF) model parameters are proposed as texture features for unsupervised texture segmentation.Instead of using model parameters as texture features, we exploit the variations ...
Michael Bennet +7 more
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Applied Sciences, 2022 Underwater vision research is the foundation of marine-related disciplines. The target contour extraction is significant for target tracking and visual information mining.
Shudi Yang, Jiaxiong Wu, Zhipeng Feng
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Automatic segmentation of lizard spots using an active contour model
Revista Facultad de Ingeniería Universidad de Antioquia, 2016 Animal biometrics is a challenging task. In the literature, many algorithms have been used, e.g. penguin chest recognition, elephant ears recognition and leopard stripes pattern recognition, but to use technology to a large extent in this area of ...
Jhony Heriberto Giraldo-Zuluaga +1 more
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CoRR, 2016 We propose a method for interactive boundary extraction which combines a deep, patch-based representation with an active contour framework. We train a class-specific convolutional neural network which predicts a vector pointing from the respective point on the evolving contour towards the closest point on the boundary of the object of interest.
Christian Rupprecht 0001 +3 more
openaire +2 more sources
Image Segmentation Using Bias Correction Active Contours
IEEE AccessDeep learning-based image segmentation methods require densely annotated and massive datasets to produce effective results. On the other hand, active contours-based methods are excellent alternatives to the situation, producing acceptable segmentation ...
Hamza Zia +2 more
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Deep Learning and Adaptive Graph-Based Growing Contours for Agricultural Field Extraction
Remote Sensing, 2020 Field mapping and information on agricultural landscapes is of increasing importance for many applications. Monitoring schemes and national cadasters provide a rich source of information but their maintenance and regular updating is costly and labor ...
Matthias P. Wagner, Natascha Oppelt
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Layered Active Contours for Tracking [PDF]
Procedings of the British Machine Vision Conference 2007, 2007 Presented at British Machine Vision Conference 2007, University of Warwick, UK, September 10-13, 2007.
Gallagher Pryor +3 more
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Embedded Real-Time Architecture for Level-Set-Based Active Contours
EURASIP Journal on Advances in Signal Processing, 2005 Methods described by partial differential equations have gained a considerable interest because of undoubtful advantages such as an easy mathematical description of the underlying physics phenomena, subpixel precision, isotropy, or direct extension to ...
Dejnožková Eva +1 more
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