We propose an active contour model based on local bias field estimation (LBFE), which makes the improved model better able to segment complex images.
The active contour model is a commonly used image segmentation method. When applied to complex images, such as images with grayscale inhomogeneity, ...
Dec 2, 2023 · A novel active contour model for image segmentation using local and global region-based information. In this paper, we propose a novel level ...
The active contour model is a commonly used image segmentation method. When applied to complex images, such as images with grayscale inhomogeneity, ...
Apr 27, 2021 · ... Active contour model with local prefitting bias estimation for fast image segmentation ... image segmentation based on local entropy and active.
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Sep 4, 2018 · In this paper, a novel region-based active contour model is presented for interleaved segmentation of images with intensity nonuniformity and ...
The proposed model can not only avoid the interference of initialization and redundant information, but also segment images with intensity inhomogeneity ...
This paper presents a novel active contour model for simultaneous segmentation and bias field estimation of medical images. Based on the additive model of ...
To tackle this problem, an active contour model based on local prefitting bias estimation is proposed. The bias field is approximated through a new function ...
An active contour model based on local prefitting bias estimation is proposed, and the bias field is incorporated into the optimized energy functional based ...