Application of Machine Vision Coupling Pattern Matching Technology in Environment Design

Jing Hu

doi:10.4028/www.scientific.net/AMM.665.551

Paper Titles

Microbial Properties and Degradation of Polycyclic Aromatic Hydrocarbons in the Contaminated Farmland Soil with Bioremediation
p.534

Research on a "Green" Industry Chain of Phosphate Fertilizer
p.538

Growth and Physiological Effects of Model Acid Rain and Lead Contamination to Tall Fescue Seedlings
p.543

Investigation on Soil Physiochemical Properties and Heavy Metal Contamination Characteristics in Two Types of Sites
p.547

Application of Machine Vision Coupling Pattern Matching Technology in Environment Design
p.551

Inhibitory Effects of Aqueous Extracts from Leaves of Common Tropical Green Plants on Nitrification in Soils
p.555

Predicting Carcinogenicity of Anilines by Quantitative Structure-Toxicity Relationship
p.559

Harvesting of Polycyclic Aromatic Hydrocarbons (PAHs)-Degrading Bacteria by Magnetic Flocculation
p.563

QSTR Study for the Carcinogenicity of Alkylbenzenes
p.567

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 665Application of Machine Vision Coupling Pattern...

Application of Machine Vision Coupling Pattern Matching Technology in Environment Design

Abstract:

In some dangerous work environments unsuitable for manual operation or the occasions difficult to meet requirements of artificial vision, common machine vision is replaced for artificial vision. Machine vision can easily realize information integration. It is a basic technology of computer integrated manufacturing. To provide reference for continuously breaking through traditional environment design idea, this paper deeply studies machine vision technology and pattern matching algorithm, appropriately couples the two technologies and applies machine vision coupling matching technology in environment design. The results show the two technologies can be appropriately coupled and applied in environment design, introduce formation in space environment and make graphs, images and texts integrate with space environment.

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Periodical:

Applied Mechanics and Materials (Volume 665)

Pages:

551-554

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.665.551

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Online since:

October 2014

Authors:

Jing Hu*

Keywords:

Design, Environment, Machine, Vision Pattern Matching

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* - Corresponding Author

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