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所属单位：电子信息工程学院

发表刊物：ELECTRONICS LETTERS

关键字：image segmentation LGIF energies image segmentation active contour model global intensity energies squared-chord distance Lorentzian distance local intensity information

摘要：An active contour model driven by novel local and global intensity fitting (LGIF) energies for image segmentation is presented. First, the GIF energy is defined by the squared-chord distance, which is more robust to noise. Second, the LIF energy is defined by the Lorentzian distance to calculate the local intensity information, which improves the generality of the presented model. Experiments are carried out on synthetic and real images and the results illustrate that the presented model can obtain higher segmentation accuracy and better segmentation efficiency; moreover, it is not sensitive to initial contour.

ISSN号：0013-5194

是否译文：否

发表时间：2017-10-26

合写作者：韩斌

通讯作者：吴一全