Our technique also outperformed the region-based Chan–Vese model when dealing with images without intensity inhomogeneities and produce better segmentation ...

Our technique also outperformed the region-based Chan-Vese model when dealing with images without intensity inhomogeneities and produced better segmentation ...

Eberl, M. Fulham, and D. D. Feng, "Robust Model for Segmenting Images With/Without Intensity Inhomogeneities," IEEE Transactions on Image Processing, vol. 22, ...

Jun 11, 2013 · The robustness of our method is validated on segmenting synthetic images with/without intensity inhomogeneities, and with different types/levels ...

In this paper, we propose an advanced variational model for image segmentation and bias correction. In contrast to the majority of existing level set ...

Mar 20, 2024 · In order to improve the robustness of traditional image segmentation models to noise, this paper models the illumination term in intensity ...

Different from the wavelet transform, the TV spectral transform is more robust to intensity inhomogeneity and eliminates the need for choosing basis functions.

Jul 13, 2023 · Intensity inhomogeneity poses a significant obstacle in the process of image segmentation, particularly when employing region-based level ...

Read online or download for free from Z-Library the Book: Corrections to “Robust Model for Segmenting Images With/Without Intensity, Author: Li, Changyang; ...

Sep 19, 2019 · Segmentation and correction results of our model to segment three synthetic images without noise but with different intensity inhomogeneity.