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中文摘要：
针对灰度不均匀图像分割提出了一种自适应灰度值的图像分割方法,该方法基于水平集理论,结合目标图像和背景的灰度值信息,将全局与局部信息进行自适应线性拟合,然后进行图像分割,避免分割陷入局部最优,对噪声具有很好的鲁棒性。实验表明,该方法能够有效地抵抗噪声干扰,可以自适应图像不均匀灰度信息,对图像进行分割,可得到全局最优分割。
英文摘要：
Aiming at segmentation to images with nonuniform gray-level, an image segmentation method adaptive to gray value was proposed. Based on the level set theory, by using the gray value information of target image and the background, adaptive linear fitting was made to the global and local information. Then, image segmentation was conducted to avoid being trapped in the local optimum, which was robust to noise. The experimental results showed that the proposed method can resist noise effectively, is adaptive to the nonuniform gray level information, and can obtain global optimal image segmentation.
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