计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (24): 160-162.
• 图形、图像、模式识别 • 上一篇 下一篇
张少华1，2
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ZHANG Shaohua1，2
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摘要： RSF（Region-Scalable Fitting）模型能够分割灰度不均一图像，但对活动轮廓的初始化和噪声较为敏感。运用理论探究与实验相结合的方法，基于RSF模型，添加一个新的水平集线性正则化项，得到了一个新的活动轮廓模型。实验表明，该模型能够分割灰度不均一图像，对初始轮廓的大小和位置不敏感，抗噪性也较强。
关键词: 图像分割, 活动轮廓, 可缩放区域拟合（RSF）模型, 偏微分方程, 正则化项
Abstract: RSF（Region-Scalable Fitting） model is able to deal with intensity inhomogeneity;however，it is sensitive to initialization and noise.Therefore，using the theories probe and experiment，the method of combining，based on RSF model，adding a level set linear regularization item，this paper proposes a novel active contour model.This model can address the segmentation of images with intensity inhomogeneity，while it allows for flexible initialization of the contours and is significantly less sensitive to noise.
Key words: image segmentation, active contour, Region-Scalable Fitting（RSF） model, partial differential equation, regularization item
张少华1，2. 带线性正则化项的RSF模型[J]. 计算机工程与应用, 2011, 47(24): 160-162.
ZHANG Shaohua1，2. RSF model with linear regularization item[J]. Computer Engineering and Applications, 2011, 47(24): 160-162.
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