Optimization of Intuitionistic Fuzzy Logic Edge Detection Algorithm via Otsu Method
Abstract
Several methods can be used to define or sense of the images in image processing systems. The most commonly used of these methods are the edge extraction algorithms. In recent years, many studies have been used intuitionistic fuzzy logic confronted with edge extraction algorithms. Intuitionistic fuzzy edge extraction algorithm is designed by experts and specialist contacts the edge of a fuzzy logic inference algorithm to minimize errors. In this algorithm, the threshold value for removing the edges of objects in images is processed randomly determined by the method of trial and error. Because of the image algorithm is obtained in different environments by using a fixed threshold value, the exact results cannot be achieved. In this study, an algorithm was developed to solve the threshold problem by using Otsu methods that automatically determine the threshold value of the numerical values ​​of an image.
Keywords
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
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Bölüm
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Yayımlanma Tarihi
7 Şubat 2013
Gönderilme Tarihi
7 Şubat 2013
Kabul Tarihi
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Yayımlandığı Sayı
Yıl 2012 Cilt: 15 Sayı: 2