Three-Dimensional Measurement of Object in Water by Tracking Phase Value

Qingfeng, 王庆丰 Wang; Qican, 张启灿 Zhang; Yuankun, 刘元坤 Liu

doi:10.3788/aos20092906.1570

Cited by 2 publications

(1 citation statement)

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“…However, in practice, distribution forms of the sample data in the vector space are diverse and do not necessarily meet the above conditions generally. The Feature distance [4] is a distance metric that the vector space structure is not strictly limited, so they can better address the issue. Defined as follows:…”

Section: Feature Distancementioning

confidence: 99%

Fuzzy Clustering Color Image Segmentation Algorithm Based on CPSO

Zhang

Ning

2012

AMR

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Fuzzy C-mean algorithm (FCM) has been well used in the field of color image segmentation. But it is sensitive to initial clustering center and membership matrix, and likely converges into the local minimum, which causes the quality of image segmentation lower. By use of the properties-ergodicity, randomicity of chaos, a new image segmentation algorithm is proposed, which combines the chaos particle swarm optimization (CPSO) and FCM clustering. Some experimental results are shown that this method not only has the ability to prevent the particles to convergence to local optimum, but also has faster convergence and higher accuracy for segmentation. Using the feature distance instead of Euclidian distance, robustness of this method is enhanced.

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Section: Feature Distancementioning

confidence: 99%

Fuzzy Clustering Color Image Segmentation Algorithm Based on CPSO

Zhang

Ning

2012

AMR

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Large-scale dimensional metrology (LSDM): from tapes and theodolites to multi-sensor systems

Franceschini

Galetto

Maisano

et al. 2014

Int. J. Precis. Eng. Manuf.

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Last decades witness an increasing interest in Large-Scale/Large-Volume Dimensional Metrology (LSDM). Many fields of application, ranging from construction to shipbuilding and aerospace, have shown more and more accurate and versatile systems for geometric control and tolerancing. Especially in the last ten years, optical technology has registered a fundamental step forward both in terms of metrological performances, versatility and convenience of use. This is further demonstrated by the current large diffusion of laser tracker and photogrammetric systems. The growth is also complemented by the development of new standards, even though a comprehensive body specific for LSDM is still lacking. The twofold aim of the present survey is to present a bibliographical and bibliometric analysis of the field and to propose a scheme of classification of the main current approaches. As an output of this paper, a "LSDM Multi-perspective Model" is introduced, according to which dominant technologies and restrictions are analyzed with the aim of individuating current lacks and defining the roadmap for future development of new instruments and systems.

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Three-Dimensional Measurement of Object in Water by Tracking Phase Value

Cited by 2 publications

References 0 publications

Fuzzy Clustering Color Image Segmentation Algorithm Based on CPSO

Fuzzy Clustering Color Image Segmentation Algorithm Based on CPSO

Large-scale dimensional metrology (LSDM): from tapes and theodolites to multi-sensor systems

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