A NOVEL APPROACH OF INITIALIZING REGION-BASED ACTIVE CONTOURS IN NOISY IMAGES BY MEANS OF UNIMODALITY ANALYSIS

摘要：

In this paper a novel approach of initializing region-based active contours using unimodality analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art methods and a method which is based on kurtosis and dissimilarity (KDR). It is shown that the excess mass method outperforms KDR and state of the art methods for synthetic and real images for different noise setups with respect to the overall accuracy and Cohens kappa of the segmentation results.

关键词： active contours initialization dip test unimodality multimodality excess mass overall accuracy Cohen’s kappa KDR segmentation

作者: Kevin Ohliger Torsten Edeler Alexandru P.Condurache Alfred Mertins

作者单位: Institute for Machine Vision Technology, Westcoast University of Applied Sciences, 25746 Heide, Germ Institute for Signal Processing, University of L(u)beck, 23538 L(u)beck, Germany

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 885-888

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）