A novel image thresholding algorithm based on neutrosophic similarity score
نویسندگان
چکیده
منابع مشابه
A novel image thresholding algorithm based on neutrosophic similarity score
Image thresholding is an important field in image processing. It has been employed to segment the images and extract objects. A variety of algorithms have been proposed in this field. However, these methods perform well on the images without noise, and their results on the noisy images are not good. Neutrosophic set (NS) is a new general formal framework to study the neutralities' origin, natur...
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Segmentation is an important research area in image processing, which has been used to extract objects in images. A variety of algorithms have been proposed in this area. However, these methods perform well on the images without noise, and their results on the noisy images are not good. Neutrosophic set (NS) is a general formal framework to study the neutralities’ origin, nature, and scope. It ...
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Neutrosophic set (NS) theory is a formal framework to study the origin, nature, and scope of the neutral state. In this paper, neutrosophic set is applied in image domain and a new directional a-mean operation is defined. Based on this operation, neutrosophic set is applied into image edge detection procedure. First, the image is transformed into NS domain, which is described by three membershi...
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Article history: Received 9 October 2015 Received in revised form 20 November 2015 Accepted 14 December 2015 Available online 17 December 2015
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Image segment is an important step in image processing, pattern recognition and computer vision. Numerous algorithms have been proposed to in this field for last twenty years. However, a generalized segmentation method, especial for noisy image, are not studied greatly. A neutrosophic set (NS), a part of neutrosophy theory, studies the origin, nature, and scope of neutralities, as well as their...
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ژورنال
عنوان ژورنال: Measurement
سال: 2014
ISSN: 0263-2241
DOI: 10.1016/j.measurement.2014.08.039