Results 1 to 10 of about 42,467 (165)
Applied Sciences (Switzerland), 2021 Pneumonia is a lung infection that threatens all age groups. In this paper, we use CT scans to investigate the effectiveness of active contour models (ACMs) for segmentation of pneumonia caused by the Coronavirus disease (COVID-19) as one of the ...
Younes Akbari +2 more
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Multigrid Geometric Active Contour Models [PDF]
IEEE Transactions on Image Processing, 2007 Geometric active contour models are very popular partial differential equation-based tools in image analysis and computer vision. We present a new multigrid algorithm for the fast evolution of level-set-based geometric active contours and compare it with other established numerical schemes. We overcome the main bottleneck associated with most numerical
George Papandreou, Petros Maragos
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The Potential of Active Contour Models in Extracting Road Edges from Mobile Laser Scanning Data
Infrastructures, 2017 Active contour models present a robust segmentation approach, which makes efficient use of specific information about objects in the input data rather than processing all of the data.
Paul Lewis, Tim Mccarthy
exaly +3 more sources
IEEE Access, 2021 Image segmentation is a key technology in the field of computer image processing. Among them, segmentation methods based on active contour models have been developed rapidly in recent years due to their effective processing of complex images such as ...
Xinghuo Ye, Qianyi Wang
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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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Fuzzy Active Contour Model With Markov Random Field for Change Detection
IEEE Access, 2022 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 to detect the changes of ...
Fei Xie +5 more
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Saliency-Driven Active Contour Model for Image Segmentation
IEEE Access, 2020 Active contour models have achieved prominent success in the area of image segmentation, allowing complex objects to be segmented from the background for further analysis.
Ehtesham Iqbal +4 more
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Active Contour Model for Image Segmentation With Dilated Convolution Filter
IEEE Access, 2021 ACMs have been demonstrated to be highly suitable as image segmentation models for computer vision tasks. Among other ACM, the local region-based models show better performance because they extract the local information regarding intensity in the ...
Usman Asim +4 more
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Active Contours in the Complex Domain for Salient Object Detection
Applied Sciences, 2020 The combination of active contour models (ACMs) for both contour and salient object detection is an attractive approach for researchers in image segmentation. Existing active contour models fail when improper initialization is performed.
Umer Sadiq Khan +2 more
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A hybrid level set model for image segmentation.
PLoS ONE, 2021 Active contour models driven by local binary fitting energy can segment images with inhomogeneous intensity, while being prone to falling into a local minima. However, the segmentation result largely depends on the location of the initial contour.
Weiqin Chen +3 more
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