Enhanced Gradient Vector Flow in the Snake Model: Extension of Capture Range and Fast Progress into Concavity
Ik-Hwan Cho, Song In-Chan, Oh Jung-Su, Kyong‐Sik Om, Jong Hyo Kim, Jeong Dong-Seok · Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong · 2006
The Gradient Vector Flow (GVF) snake or active contour model offers the best performance for image segmentation. However, there are problems in classical snake models such as the limited capture range and the slow progress into concavity. This paper presents a new method for enhancing the performance of the GVF snake model by extending the external force fields from the neighboring fields and using a modified smoothing method to regularize them. The results on a simulated U-shaped image showed that the proposed method has larger capture range and makes it possible for the contour to progress into concavity more quickly compared with the conventional GVF snake model.