scholarly journals A hybrid dermoscopy images segmentation approach based on neutrosophic clustering and histogram estimation

2018 ◽  
Vol 69 ◽  
pp. 426-434 ◽  
Author(s):  
Amira S. Ashour ◽  
Yanhui Guo ◽  
Enver Kucukkulahli ◽  
Pakize Erdogmus ◽  
Kemal Polat
2018 ◽  
Vol 2018 (15) ◽  
pp. 288-1-2887 ◽  
Author(s):  
Jihui Jin ◽  
Gefen Kohavi ◽  
Zhi Ji ◽  
Avideh Zakhor

2019 ◽  
Vol 23 (6) ◽  
pp. 913-926
Author(s):  
Kakyom Kim ◽  
Giri Jogaratnam

Research findings on generations have been becoming useful for event organizers and destination developers over the past decades. The current study investigated generational differences in exhibition dimensions, satisfaction, and future intentions along with trip characteristics of visitors to the NASCAR Hall of Fame Exhibition event held in a medium-sized city in the southeastern region of the US. Analysis confirmed the existence of six exhibition dimensions labeled as "exhibits," "staff," "facility," "concessions," "audio tours," and "hard cards" on the event. As part of the most substantial results, there were both dissimilarities and similarities in the exhibition dimensions across four generations including "Matures," "Baby Boomers," "Generation X," and "Generation Y." Analysis also suggested significant differences in exhibition visitors' overall satisfaction, future intentions, and trip characteristics across the generations. Some useful implications are discussed for exhibition event managers and organizers.


2021 ◽  
Vol 63 (1) ◽  
pp. 109-127
Author(s):  
Kinga Zsuzsanna Nagy ◽  
Kata Tóth ◽  
Noémi Gyömbér ◽  
László Tóth ◽  
Miklós Bánhidi

2021 ◽  
Author(s):  
Ahmed A. Sleman ◽  
Ahmed Soliman ◽  
Mohamed Elsharkawy ◽  
Guruprasad Giridharan ◽  
Mohammed Ghazal ◽  
...  

2011 ◽  
Vol 07 (01) ◽  
pp. 155-171 ◽  
Author(s):  
H. D. CHENG ◽  
YANHUI GUO ◽  
YINGTAO ZHANG

Image segmentation is an important component in image processing, pattern recognition and computer vision. Many segmentation algorithms have been proposed. However, segmentation methods for both noisy and noise-free images have not been studied in much detail. Neutrosophic set (NS), a part of neutrosophy theory, studies the origin, nature, and scope of neutralities, as well as their interaction with different ideational spectra. However, neutrosophic set needs to be specified and clarified from a technical point of view for a given application or field to demonstrate its usefulness. In this paper, we apply neutrosophic set and define some operations. Neutrosphic set is integrated with an improved fuzzy c-means method and employed for image segmentation. A new operation, α-mean operation, is proposed to reduce the set indeterminacy. An improved fuzzy c-means (IFCM) is proposed based on neutrosophic set. The computation of membership and the convergence criterion of clustering are redefined accordingly. We have conducted experiments on a variety of images. The experimental results demonstrate that the proposed approach can segment images accurately and effectively. Especially, it can segment the clean images and the images having different gray levels and complex objects, which is the most difficult task for image segmentation.


2013 ◽  
Vol 12 (4) ◽  
pp. 489-513 ◽  
Author(s):  
Fauzia Erfan Ahmed

Abstract As never before, the private sector can make a difference at the bottom of the pyramid (BOP). But little is known about who the poor really are, the environment in which they live, and how to create value for them. This also means that little is known about how to establish a business at the BOP that meets both development and profit goals. This article presents a segmentation approach embedded in a larger theory of the culture of poverty to help businesses focus on serving the BOP. I focus on examples from my research on the Grameen Bank in Bangladesh and Patrimonio Hoy in Mexico to show examples of applications of segmentation theory to businesses at the BOP.


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