文章基本信息

标题：Quantitative evaluation of Segmentation algorithms based on level set method for ISL datasets
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作者：Ms. M. Krishnaveni ; Dr. V. Radha
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：6
页码：2361-2369
出版社：Engg Journals Publications
摘要：The enormous potential research efforts have been taken for sophisticated and natural human computer interaction using gestures. This work has got motivated from long ago as 1980�s since sign language is the only communicate mode for deaf community people. In signing, the face and a hand of a signer often overlap, thus the system needs to segment these for the purpose of feature extraction. This research work concentrates with the separation of the face and hand by detecting contour of the static object using reference labels and different snake algorithms. Indian sign language dataset is used to evaluate a few level set computer vision algorithms. Specifically different feature sets, segmentation algorithms and color constancy algorithms are evaluated quantitatively. In future, it is possible to evaluate the accuracy of sign on a large scale due to the availability of large annotated databases.
关键词：Segmentation; Level set; Sign language; Contour method; objective assessment