Template Guided Live Wire and Its Application on Automatic Extraction of Tongue in Digital Image
ZHENG Yuan-jie
YANG Jie
ZHOU Yue
摘要：In this paper, we propose a novel automatic object extraction algorithm, named the Template Guided Live Wire, based on the popularly used livewire techniques. We discuss in details the novel method's applications on tongue extraction in digital images. With the guides of a given template curve which approximates the tongue's shape, our method can finish the extraction of tongue without any human intervention. In the paper, we also discussed in details how the template guides the live wire, and why our method functions more effectively than other boundary based segmentation methods especially the snake algorithm. Experimental results on some tongue images areas well provided to show our method's better accuracy and robustness than the snake algorithm.
机标关键词：Digital Imageextraction algorithmhuman intervention
分类号：R3(基础医学)
论文发表日期：2005-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：10( 104-113 )
英文信息