Results 11 to 20 of about 55,861 (258)
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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Scene Text Detection Based on Learning Active Center Contour Model [PDF]
Jisuanji gongcheng, 2022 In the field of scene text detection, there are several problems such as missing small text and insufficient precision for large text and multi-scale text boundary detection errors caused by large text size fluctuation.To solve the above problems, a ...
XIE Binhong, QIN Yaolong, ZHANG Yingjun
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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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Narrow Band Active Contour Attention Model for Medical Segmentation
Diagnostics, 2021 Medical image segmentation is one of the most challenging tasks in medical image analysis and widely developed for many clinical applications. While deep learning-based approaches have achieved impressive performance in semantic segmentation, they are ...
Ngan Le +4 more
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Multi-scale and shape constrained localized region-based active contour segmentation of uterine fibroid ultrasound images in HIFU therapy. [PDF]
PLoS ONE, 2014 To overcome the severe intensity inhomogeneity and blurry boundaries in HIFU (High Intensity Focused Ultrasound) ultrasound images, an accurate and efficient multi-scale and shape constrained localized region-based active contour model (MSLCV), was ...
Xiangyun Liao +5 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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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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Local Fitting Active Contour Model Based on Regional Similarity [PDF]
Jisuanji gongcheng, 2016 To overcome the disadvantage of Local Binary Fitting(LBF) model that it cannot segment texture image and has too slow convergence speed,an active contour model combining local fitting energy and regional similarity is presented.It introduces an ...
HUANG Yonggang,LIANG Xingang
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Local Active Contour Model Combined with Global Constraint Function [PDF]
Jisuanji gongcheng, 2016 The Local Binary Fitting(LBF) model uses the local average gray level information of image to cope with gray level inhomogeneity.However,by only using the local gray means of the image,it is not possible to get ideal results of segmentation for the ...
ZHANG Ling,PENG Xinguang,LI Haifang,LI Gang
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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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