文章基本信息

标题：IMPROVING MULTILEVEL THRESHOLDING ALGORITHM USING ULTRAFUZZINESS OPTIMIZATION BASED ON TYPE-II GAUSSIAN FUZZY SETS
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作者：SHOFWATUL UYUN
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：83
期号：2
出版社：Journal of Theoretical and Applied
摘要：Image thresholding is one of image processing techniques to help analyze the next phase. Consequently, choosing a precise method in this step is quite-essential. Image blurs and bad illumination are common constraints that often influence the effectiveness of the thresholding method. Fuzzy sets is one among other perceptions in scoring an image. Thus, various thresholding fuzzy techniques have been developed to eliminate those constraints. This paper proposes the improvement of multilevel thresholding techniques by using type II fuzzy sets with the function of gaussian membership to access some objects at mammogram to get fibroglandular tissue areas. The result shows that the proposed technique has a very good achievement with the average score with misclassification error parameter of 97.86%. This proves that the proposed algorithm are able to function well to the image with low contrast level and high unclearness level.
关键词：Multilevel Thresholding; Ultrafuzziness; Fuzzy Sets; Type II; Gaussian