ZHANG Kaihua, XU Shoushi, ZHOU Wengang, LIU Bo. Active Contours Based on Image Laplacian Fitting Energy[J]. Chinese Journal of Electronics, 2009, 18(2): 281-284.
Citation: ZHANG Kaihua, XU Shoushi, ZHOU Wengang, LIU Bo. Active Contours Based on Image Laplacian Fitting Energy[J]. Chinese Journal of Electronics, 2009, 18(2): 281-284.

Active Contours Based on Image Laplacian Fitting Energy

  • Received Date: 2008-01-01
  • Rev Recd Date: 2008-05-01
  • Publish Date: 2009-05-25
  • The zero-crossings of image Laplacian isimportant for edge detection, which can accurately determine the edges of the image. In this paper, we propose anovel active contour model that utilizes the image Laplacian to construct an energy functional. We minimize thisfunctional and get a term which is related to typical image segmentation that the boundary is the zero-crossingsof image Laplacian. In order to improving the ability toresist noise and extending the capture range of the forcebased on this energy functional, we propose another energyfunctional of total variation for image Laplacian. Moreover, our model is incorporated with a variational levelset formulation without re-initialization proposed by Liet al. Therefore, re-initialization is unnecessary. In addition, interior contours are automatically detected withonly one initial contour. Comparisons with other majoredge-based or region-based models, such as Geodesic active contours (GAC) and the piecewise constant model (CV model), show advantages in segmentation of images withweak edges or intensity in-homogeneity.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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