Image segmentation based on histogram analysis utilizing the cloud model

Qin, Kun; Kai, Xu; Feilong, Liu; Li, Deyi

doi:10.1016/j.camwa.2011.07.048

Cited by 98 publications

(39 citation statements)

References 17 publications

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“…The cloud model (CM) is an effective tool proposed by DeYi Li in the 1990s to address uncertainty in conversions between qualitative concepts and their quantitative expressions [35]. Since there are various distribution functions, the CM can be divided into different types, including the normal cloud, half-up CM, and half-down cloud.…”

Section: Cloud Modelmentioning

confidence: 99%

“…Since there are various distribution functions, the CM can be divided into different types, including the normal cloud, half-up CM, and half-down cloud. The normal cloud model (NCM) has successfully gained general applicability and universality because several social and natural sciences phenomena are approximately subordinate to normal or semi-normal distribution [35][36][37]. The NCM is thus adopted in this study and can be defined as follows: let U be a discourse domain and let A be a qualitative concept in U.…”

Section: Cloud Modelmentioning

confidence: 99%

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Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development

2017

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Water Resource Sustainable Utilization (WRSU) is becoming increasingly important, given growing water resource shortages and widening gaps between water supply and demand. Most existing studies have focused on WRSU levels without a dedicated strategy-oriented framework. In addition, uncertainties occur in the process of indicator quantification and grading, leading to a lack of accuracy in the assessment results. Therefore, in this study, stemming from water resource, societal, economic, and environmental dimensions, an indicator system with qualitative description was introduced by Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis to enable development and selection of sustainable water use strategies. A normal cloud model that is capable of addressing uncertainties was used to determine WRSU levels. The comprehensive evaluation results can both reflect the WRSU levels and select the most suitable strategy. The model's utility was demonstrated by applying it to the case of Shandong province in China. Based on the results, most areas of Shandong province appear to be facing serious unsustainable issues. Appropriate development strategies based on the WRSU levels were provided for improving sustainable use of water resources. The proposed method offers an efficient means for WRSU assessment and strategy development. Moreover, it has the potential to be applied to other water resource issues.

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Section: Cloud Modelmentioning

confidence: 99%

Section: Cloud Modelmentioning

confidence: 99%

Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development

2017

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“…Numerical characteristics of cloud model can reflect the fuzziness and randomness. These are expectation Ex, entropy En and super entropy He respectively [9][10]. The generation algorithm of normal cloud model generator is following.…”

Section: The Randomness Description Of Visual Positioning Based On CLmentioning

confidence: 99%

The uncertainty research of visual positioning in different mediums

Wang

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. In engineering application, there existed deviation when light spreads in different mediums. At the same time miscellaneous medium and random fluctuation may lead to inaccuracy of visual positioning. It explored visual positioning technology in condition of different mediums for binocular camera. Firstly focused on medium material and impurity in real environment, the refractive index formula is derived through binocular visual positioning principle. Then considering deviation when light spreads in different mediums, deductive process of vision positioning is realized according to calculated refractive index. Because cloud model can better describe randomness and fuzziness. It was introduced to deal with problems of random fluctuation in different mediums. Finally simulation was designed to prove the accuracy improvement in different mediums. The result showed that accuracy error had decreased by 66.7% after considering transparent organic mediums. Compared with not knowing refractive index, positioning error had decreased by 49.7%.

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“…Therefore, the cloud model is more objective and less information-losing than other methods. It has been successfully applied to numerous fields, such as data mining [38], knowledge discovery [39], network security [40], image segmentation [41] and linguistic MCDM [42]. Certainly, there are other ways transforming uncertain linguistic information into numbers, such as the defuzzifying method [43], and transforming uncertain linguistic evaluation information into trapezoidal fuzzy numbers [44].…”

Section: Fuzzy Linguistic Variables and Cloud Modelmentioning

confidence: 99%

Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model

Fan

Tang

2016

Sustainability

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Abstract:With the low-carbon economy advocated all over the world, how to use energy reasonably and efficiently in public projects has become a major issue. It has brought many open questions, including which method is more reasonable in evaluating the energy utilization of carbon performance in public projects when the evaluation information is fuzzy; whether an indicator system can be constructed; and which indicators have more impact on carbon performance. This article aims to solve these problems. We propose a new carbon performance evaluation system for energy utilization based on project processes (design, construction, and operation). Fuzzy Analytic Hierarchy Process (FAHP) is used to accumulate the indicator weights and cloud model is incorporated when the indicator value is fuzzy. Finally, we apply our indicator system to a case study of the Xiangjiang River project in China, which demonstrates the applicability and efficiency of our method.

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Image segmentation based on histogram analysis utilizing the cloud model

Cited by 98 publications

References 17 publications

Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development

Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development

The uncertainty research of visual positioning in different mediums

Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model

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