Results 21 to 30 of about 38,252 (256)
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999 A method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the second one via a partial Differential equation, while tracking the deformation of the curves of interest in the first image with an additional, coupled, partial Differential ...
Marcelo Bertalmío +2 more
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Higher Order Active Contours [PDF]
International Journal of Computer Vision, 2006 We introduce a new class of active contour models that hold great promise for region and shape modelling, and we apply a special case of these models to the extraction of road networks from satellite and aerial imagery. The new models are arbitrary polynomial functionals on the space of boundaries, and thus greatly generalize the linear functionals ...
Marie Rochery +2 more
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Active Contours Driven by Cellular Neural Networks for Image Segmentation in Biomedical Applications [PDF]
Revista Română de Informatică și Automatică, 2021 This paper proposes a novel approach for image segmentation in the context of biomedical applications. The medical images considered for this analysis are both microarray images and images recorded from microfluidics devices. In case of microarray images,
Bogdan BELEAN
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Sparse Texture Active Contour [PDF]
IEEE Transactions on Image Processing, 2013 In image segmentation, we are often interested in using certain quantities to characterize the object, and perform the classification based on criteria such as mean intensity, gradient magnitude, and responses to certain predefined filters. Unfortunately, in many cases such quantities are not adequate to model complex textured objects.
Yi Gao 0002 +3 more
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Cage Active Contours for image warping and morphing
EURASIP Journal on Image and Video Processing, 2018 Cage Active Contours (CACs) have shown to be a framework for segmenting connected objects using a new class of parametric region-based active contours.
Jeroni Carandell +2 more
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Extracting Agricultural Fields from Remote Sensing Imagery Using Graph-Based Growing Contours
Remote Sensing, 2020 Knowledge of the location and extent of agricultural fields is required for many applications, including agricultural statistics, environmental monitoring, and administrative policies.
Matthias P. Wagner, Natascha Oppelt
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Directional geodesic active contours [PDF]
2012 19th IEEE International Conference on Image Processing, 2012 We present a non-conformal metric that generalizes the geodesic active contours approach for image segmentation. The new metric is obtained by adding to the Euclidean metric an additional term that penalizes the misalignment of the curve with the image gradient and multiplying the resulting metric by a conformal factor that depends on the edge ...
Guillermo Gallego 0002 +2 more
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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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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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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
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