Ultrafuzziness Optimization Based on Type II Fuzzy Sets for Image Thresholding  

Oleh:

Arifin, Agus Zainal ; Heddyanna, Aidila Fitri ; Studiawan, Hudan

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: Journal of ICT Research and Applications vol. 4C no. 2 (2010), page 79-94.
Topik: Image Threshold; Fuzzy Sets; Ultra-Fuzziness; Type II Fuzzy Sets
Fulltext: 1_Thom.pdf (561.58KB)

Isi artikel

Image threshold is one of the processing techniques to provide high quality preprocessed image. Image vagueness and bad illumination are common obstacles yielding in a poor image threshold output. By assuming image as fuzzy sets, several different fuzzy threshold techniques have been proposed to remove these obstacles during threshold selection. In this paper, we proposed an algorithm for threshold image using ultra-fuzziness optimization to decrease uncertainty in fuzzy system by common fuzzy sets like type II fuzzy sets. Optimization was conducted by involving ultra-fuzziness measurement for background and object fuzzy sets separately. Experimental results demonstrated that the proposed image threshold method had good performances for images with high vagueness, low level contrast, and gray-scale ambiguity.

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