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New neutrosophic approach to image segmentation

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Book Synopsis New neutrosophic approach to image segmentation by : Yanhui Guo

Download or read book New neutrosophic approach to image segmentation written by Yanhui Guo. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Neutrosophic set (NS), a part of neutrosophy theory, studies the origin, nature and scope of neutralities, as well as their interactions with different ideational spectra. NS is a formal framework that has been recently proposed.

APPROACH TO IMAGE SEGMENTATION BASED ON INTERVAL NEUTROSOPHIC SET

Mathematics
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Book Synopsis APPROACH TO IMAGE SEGMENTATION BASED ON INTERVAL NEUTROSOPHIC SET by : Ye Yuan

Download or read book APPROACH TO IMAGE SEGMENTATION BASED ON INTERVAL NEUTROSOPHIC SET written by Ye Yuan. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: As a generalization of the fuzzy set and intuitionistic fuzzy set, the neutrosophic set (NS) have been developed to represent uncertain, imprecise, incomplete and inconsistent information existing in the real world. Now the interval neutrosophic set (INS) which is an expansion of the neutrosophic set have been proposed exactly to address issues with a set of numbers in the real unit interval, not just one speci c number.

An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut

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Book Synopsis An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut by : Yanhui Guo

Download or read book An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut written by Yanhui Guo. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Segmentation is considered as an important step in image processing and computer vision applications, which divides an input image into various non-overlapping homogenous regions and helps to interpret the image more conveniently. This paper presents an efficient image segmentation algorithm using neutrosophic graph cut (NGC).

Novel Approaches to Image Segmentation Based on Neutrosophic Logic

2010
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Release : 2010
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Book Synopsis Novel Approaches to Image Segmentation Based on Neutrosophic Logic by : Ming Zhang

Download or read book Novel Approaches to Image Segmentation Based on Neutrosophic Logic written by Ming Zhang. This book was released on 2010. Available in PDF, EPUB and Kindle. Book excerpt: Neutrosophy studies the origin, nature, scope of neutralities, and their interactions with different ideational spectra. It is a new philosophy that extends fuzzy logic and is the basis of neutrosophic logic, neutrosophic probability, neutrosophic set theory, and neutrosophic statistics. Because the world is full of indeterminacy, the imperfection of knowledge that a human receives/observes from the external world also causes imprecision. Neutrosophy introduces a new concept Neut-A, which is the representation of indeterminacy. However, this theory is mostly discussed in physiology and mathematics. Thus, applications to prove this theory can solve real problems are needed. Image segmentation is the first and key step in image processing. It is a critical and essential component of image analysis and pattern recognition. In this dissertation, I apply neutrosophy to three types of image segmentation: gray level images, breast ultrasound images, and color images. In gray level image segmentation, neutrosophy helps reduce noise and extend the watershed method to normal images. In breast ultrasound image segmentation, neutrosophy integrates two controversial opinions about speckle: speckle is noise versus speckle includes pattern information. In color image segmentation, neutrosophy integrates color and spatial information, global and local information in two different color spaces: RGB and CIE (L*u*v*), respectively. The experiments show the advantage of using neutrosophy.

A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory

Mathematics
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Book Synopsis A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory by : Sensen Song

Download or read book A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory written by Sensen Song. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Due to more or less deviations in the imaging system, there will be noise in the image, which makes the image segmentation inaccurate. To divide a natural image into a more accurate binary image, the target and background of the image are effectively separated to achieve a more effective segmentation result. Therefore, this paper proposes an image segmentation algorithm combining a saliency map and neutrosophic set (NS) theory. First, to overcome the problem of weak edges in the image, we highlight the details and use the guided filter to filter the various channels of the natural image. Then, the initial saliency map is generated. After the weighted superposition of the initial saliency map, the local entropy map and the gray scale map, the final saliency map can be generated using the nonlinear function, and it can effectively highlight the foreground information of the image. Second, the saliency map is transformed to the NS domain and interpreted by three subsets: true (T), indeterminate (I), and false (F). According to NS theory, the indeterminacy is reduced, and the segmentation results are finally obtained by using the method of threshold. Various experiments were done and compared with other state-of-the-art approaches. These experiments demonstrate the effect of the proposed work, which is fast and effective for de-noising.

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