The kernel active contour has computational complexity O(n 2 ) due to the involved kernel technology. We propose a fast implementation for kernel active contour ...
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In active contour models, an initial contour is placed near the object. The algorithms evolve the contour to the desired boundary. Different terms in the energy ...
A kernel-descriptor-based active contour model is proposed to address the problem of a lack of local spatial correlations in image segmentation.
The kernel active contour has computational complexity O(n<sup>2</sup>) due to the involved kernel technology. We propose a fast implementation for kernel ...
Active contour model, also called snakes, is a framework in computer vision introduced by Michael Kass, Andrew Witkin, and Demetri Terzopoulos
Missing: Kernel | Show results with:Kernel
Level sets and graph cuts are two state-of-the-art im- age segmentation methods in use today. The two methods are apparently different from each other not ...
Jan 13, 2023 · Geodesic active contour model (GACM) is a standard deterministic method for the segmentation of complex organ structures based on edge maps.
To address these problems, this paper proposes a novel kernel-based active contour (KPAC) approach, which replaces the conventional internal energy term used in ...
Using the active contour algorithm, you specify initial curves on an image and then use the activecontour function to evolve the curves towards object ...
Missing: Kernel | Show results with:Kernel
This paper proposes a novel active contour model for image object recognition using neural networks as a dynamic information fusion kernel.