An anti-geometric diffusion classification based image binarization method

作者：Huang, Qian^*; Wu, Yuan; Yin, Jun-Xun

来源：Pattem Recognition and Aitificial Intelligence, 2008, 21(2): 199-205.

• Anti-geometric diffusion
• Flaw recognition
• Image binarization
• Noise restriction
• X ray images

It is difficult to extract objects from background due to the uneven and complex background information. In this paper, a binarization method is developed, which is based on the anti-geometric diffusion, a special form of the anisotropic diffusion. The anti-geometric diffusion method is used to blur and diffuse the edge of images as much as possible, and thus many threshold surfaces are formed. Each pixel is classified during the diffusion process according to the developed classification criterions. Finally, a post-processing approach is proposed to extract the object from background. The numerical experimental results show that the presented method is robust to the noise restriction. Furthermore, the results for handling X-ray images of casting products with uneven background by the presented method are given.

• 出版日期2008-4
• 单位华南理工大学