Introduction to Image Processing via Neutrosophic Techniques


  • A. A. Salama Department of Mathematics and Computer Science, Faculty of Sciences, Port Said University, 23 December Street, Port Said 42522, Egypt
  • Florentin Smarandache Department of Mathematics, University of New Mexico 705 Gurley Ave. Gallup, NM 87301, USA
  • Mohamed Eisa Computer Science Department, Port Said University, 42526 Port Said, Egypt


Neutrosophic sets, Hamming distance, Euclidean distance, Normalized Euclidean distance, Image processing


This paper is an attempt of proposing the processing approach of neutrosophic technique in image processing. As neutrosophic sets is a suitable tool to cope with imperfectly defined images, the properties, basic operations distance measure, entropy measures, of the neutrosophic sets method are presented here. İn this paper we, introduce the distances between neutrosophic sets: the Hamming distance, the normalized Hamming distance, the Euclidean distance and normalized Euclidean distance. We will extend the concepts of distances to the case of neutrosophic hesitancy degree. Entropy plays an important role in image processing. In our further considertions on entropy for neutrosophic sets the concept of cardinality of a neutrosophic set will also be useful. Possible applications to image processing  are touched upon.


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How to Cite

A. Salama, A., Smarandache, F., & Eisa, M. (2014). Introduction to Image Processing via Neutrosophic Techniques. Neutrosophic Sets and Systems, 5, 59-64. Retrieved from