%0 Journal Article
%@ 18173195
%A 'Uyun, Shofwatul
%D 2016
%F digilib:19026
%I Little Lion Scientific Islamabad Pakistan
%J Journal of Theoretical and Applied Information Technology
%K Multilevel Thresholding, Ultrafuzziness, Fuzzy Sets, Type II, Gaussian
%N 2
%P 283-290
%T Improving Multilevel Thresholding Algorithm Using Ultrafuzziness Optimization Based on Type-II Gaussian Fuzzy Sets
%U https://digilib.uin-suka.ac.id/id/eprint/19026/
%V 83
%X 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 amongother   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 techniquesby   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.