Multiview Machine Vision Research of Fruits Boxes Handling Robot Based on the Improved 2D Kernel Principal Component Analysis Network

Li, Xinning; Wu, Hu; Yang, Xiaobo; Peng, Xue Bin; Tan, Shuai

doi:10.1155/2021/3584422

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…e morphological information of the target is obtained and converted into digital signal according to the pixel distribution, brightness, color, and other information [10,11]. e image system performs various operations on these signals to extract the characteristics of the target, and then controls the action of the equipment on-site according to the discriminant results.…”

Section: Machine Visionmentioning

confidence: 99%

Design and Application of Art Education Communication Platform Based on Machine Vision

Chen

Tang

et al. 2022

Security and Communication Networks

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There are some problems in the design and application of the art education exchange platform. In order to further analyze the relevant content of the art education exchange, based on machine vision theory, model calibration, and coordinate change are adopted to modify the original model, so as to obtain the optimized model. This model can be used to analyze the design and application of art education platform. Relevant studies show that, according to the coordinate parameter curve, the parameter α plays a promoting role on the coordinate value, while the parameter β plays a promoting role on the coordinate value first and then plays an inhibiting role. The parameter γ also promotes and inhibits coordinate values. The curve corresponding to parameter M1 shows a gradual decline, and the curve of parameter M2 has little influence on coordinate data. The curve corresponding to parameter M3 also shows a linear trend of change. Through analysis, it can be seen that M3 has the greatest influence on coordinate data. By using machine vision model to design and analyze the communication platform of art education, the changing trend of different indicators can be obtained. It can be seen from the analysis that both language and vocal music have obvious stability in the calculation process, which is an inherent attribute of communication platform. Finally, the accuracy of the optimization model is verified by analyzing and predicting the data. This research can provide theoretical support for the application of machine vision model in other fields.

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Section: Machine Visionmentioning

confidence: 99%

Design and Application of Art Education Communication Platform Based on Machine Vision

Chen

Tang

et al. 2022

Security and Communication Networks

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“…The similarity between two data objects is determined by using the measurements method. To this end, the kernel principal component analysis method [12,13] is used to reduce the dimensionality of enterprise data center re-sources. In kernel principal component analysis, for the reduction of dimensionality, the linear, polynomial, sigmoid kernel methods are used.…”

Section: Density Peak Clustering Algorithmmentioning

confidence: 99%

Retrieval Technology of Enterprise Data Center Resources Based on Density Peak Clustering Algorithm

Jiang,

Ruan,

Dai

2023

cai

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In order to effectively ensure the retrieval effect of enterprise data center resources, improve the retrieval accuracy of enterprise data center resources, and shorten the retrieval time of enterprise data center resources, a retrieval technology of enterprise data center resources based on density peak clustering algorithm is proposed. Analytical clustering algorithms, density clustering algorithms, and density peak clustering algorithms are all types of clustering algorithms. To reduce the dimensionality of enterprise data center resources, the kernel principal component analysis method is used. The structure of the enterprise data center resource set is reorganized and the feature quantity of the enterprise data center resource distribution is extracted using feature space reorganization technology. On this basis, the density peak clustering is carried out on the data center resource set of enterprise, and the semantic association distribution model of data center resource retrieval in enterprise is constructed. Through the semantic registration and weighted vector combination control method, the retrieval of enterprise data center resources is realized. The experimental results show that the proposed algorithm has a good effect on the retrieval of enterprise data center resources, which can effectively improve the resource retrieval accuracy and shorten the resource retrieval time.

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I2DKPCN: an unsupervised deep learning network

Zhao

Shi

2022

Appl Intell

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Multiview Machine Vision Research of Fruits Boxes Handling Robot Based on the Improved 2D Kernel Principal Component Analysis Network

Cited by 3 publications

References 45 publications

Design and Application of Art Education Communication Platform Based on Machine Vision

Design and Application of Art Education Communication Platform Based on Machine Vision

Retrieval Technology of Enterprise Data Center Resources Based on Density Peak Clustering Algorithm

I2DKPCN: an unsupervised deep learning network

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