A Robust and Fast Active Contour Model for Image Segmentation with Intensity Inhomogeneity

机译：具有强度不均匀性的图像分割的鲁棒快速主动轮廓模型

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In this paper, a robust and fast active contour model is proposed for image segmentation in the presence of intensity inhomogeneity. By introducing the local image intensities fitting functions before the evolution of curve, the proposed model can effectively segment images with intensity inhomogeneity. And the computation cost is low because the fitting functions do not need to be updated in each iteration. Experiments have shown that the proposed model has a higher segmentation efficiency compared to some well-known active contour models based on local region fitting energy. In addition, the proposed model is robust to initialization, which allows the initial level set function to be a small constant function.

机译：在本文中，提出了一种鲁棒且快速的主动轮廓模型，用于在存在强度不均匀性的情况下进行图像分割。通过在曲线演化之前引入局部图像强度拟合函数，该模型可以有效地分割强度不均匀的图像。而且由于不需要在每次迭代中更新拟合函数，因此计算成本较低。实验表明，与某些基于局部区域拟合能量的主动轮廓模型相比，该模型具有更高的分割效率。另外，所提出的模型对于初始化是鲁棒的，这允许初始水平集函数是小的常数函数。

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《International conference on graphic and image processing》|2017年|106151V.1-106151V.7|共7页
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Keyan Ding; Guirong Weng;
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Image segmentation; intensity inhomogeneity; active contour model; level set method; robust initialization;

机译：图像分割强度不均匀活动轮廓模型;水平设置方法;强大的初始化;

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1. Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity [J] . Qinyan Huang, Weiwen Zhou, Minjie Wan, Optical and quantum electronics . 2021,第7期

机译：具有强度不均匀性的红外图像的多特征驱动主动轮廓分段模型
2. Fast and Robust Active Contours Model for Image Segmentation [J] . Li Yupeng, Cao Guo, Yu Qian, Neural processing letters . 2019,第2期

机译：快速鲁棒的主动轮廓模型用于图像分割
3. A robust active contour model driven by pre-fitting bias correction and optimized fuzzy c-means algorithm for fast image segmentation [J] . Jin Ri, Weng Guirong Neurocomputing . 2019,第SEPa24期

机译：由预拟合偏差校正和优化的模糊c均值算法驱动的鲁棒主动轮廓模型，用于快速图像分割
4. A Robust and Fast Active Contour Model for Image Segmentation with Intensity Inhomogeneity [C] . Keyan Ding, Guirong Weng International Conference on Graphic and Image Processing . 2017

机译：具有强度不均匀性的图像分割的鲁棒和快速活动轮廓模型
5. Robust image segmentation using active contours: Level set approaches. [D] . Lee, Cheolha Pedro. 2005

机译：使用活动轮廓进行稳健的图像分割：水平集方法。
6. Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity [O] . Farhan Akram, Miguel Angel Garcia, Domenec Puig -1

机译：由局部和全局拟合图像模型驱动的主动轮廓可对强度不均匀性进行鲁棒的图像分割
7. Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity [O] . Akram, F. 2017

机译：由局部和全局拟合图像模型驱动的活动轮廓，用于强度不均匀性的图像分割

A Robust and Fast Active Contour Model for Image Segmentation with Intensity Inhomogeneity

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