A fast active contour model for image segmentanon driven by local region energy

作者：Wu, Ji-Ming^*; Zhu, Xue-Feng; Xiong, Jian-Wen; Bao, Su-Su

来源：Journal of Optoelectronics - Laser, 2010, 21(1): 140-143.

• Active contour model
• Convergency
• Curve evolution
• Data fittings
• Intensity inhomogeneity
• Level Set method
• Local information
• Local region
• Medical images
• Multi-objects
• Region energy
• Statistical information
• Variational level set

In order to overcome the difficulties caused by intensities in-homogeneity and improve the speed of image segmentation, we propose a novel active contour model in which the curve evolution is driven by the statistical information around the curve, and the curve is forced to march toward the boundary under the alignment term. In our model, the data fitting term, which is constructed by the local information between the curve and mask, is incorporated into a variational level set formulation to be solved. Experiment results on the synthetic and medical images demonstrate that our new active contour model can segment multi-objects with intensity in-homogeneity at a faster convergency speed, and it is robust to noise.

• 出版日期2010-1
• 单位华南师范大学; 华南理工大学