scholarly journals Design and Realization of Computer Image Intelligent Recognition System

2022 ◽  
Vol 2146 (1) ◽  
pp. 012002
Author(s):  
Guibing Xu
Keyword(s):  
Image Recognition ◽  
Computer Technology ◽  
Computer Image ◽  
Digital Images ◽  
Vision System ◽  
Recognition System ◽  
Basic Knowledge ◽  
Human Society ◽  
Machine Vision System ◽  
Intelligent Recognition

Abstract The application of intelligent image recognition technology in life is more and more extensive, especially in the field of computer and multimedia, the research of machine vision system is becoming more and more mature, and the demand of human society for information processing is constantly increasing. This article first analyzes the basic knowledge of digital images based on computer technology, including basic knowledge of digital images, basic knowledge of image filtering and image recognition algorithms. Secondly, this paper studies the design and implementation of computer image intelligent recognition system.

An Image-Recognition System Implemented On Hierarchical Parallel Architectures

1998 ◽  
Vol 12 (03) ◽  
pp. 293-310
Author(s):  
Fabio Ancona ◽  
Stefano Rovetta ◽  
Rodolfo Zunino
Keyword(s):  
Image Recognition ◽  
High Performance ◽  
Parallel Implementation ◽  
Vision System ◽  
Recognition System ◽  
The Novel ◽  
Comparative Performance ◽  
Tree Structures ◽  
Novel Device ◽  
Time Image

The paper describes a parallel implementation of a vision system based on associative memories. The proposed real-time image-recognition system is based on the associative 'noise-like coding' model and is implemented on transputer-based tree structures. A high-performance device, the 'complex node' (CN), is introduced. The CN integrates two transputers by a dual-port memory and supports a total of eight links. Tree structures increase their throughput performance when CNs are included. A CN-including tree architecture is compared with a standard transputer-based tree structure having the same computational power. A comparative performance analysis shows the improvement in efficiency obtained when the novel device is used. In addition, theoretical derivations lead to a formula for the system's efficiency, and one demonstrates that expected values fit with measured ones, thus confirming the validity of the overall approach.

scholarly journals Intelligent Recognition System Based on Contour Accentuation for Navigation Marks

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yanke Du ◽  
Shuo Sun ◽  
Shi Qiu ◽  
Shaoxi Li ◽  
Mingyang Pan ◽  
...  
Keyword(s):  
Image Recognition ◽  
Recognition Accuracy ◽  
Multiple Scale ◽  
Recognition System ◽  
Attention Mechanism ◽  
Important Task ◽  
Experimental Results ◽  
Classification Model ◽  
Navigation Systems ◽  
Intelligent Recognition

Sensing navigational environment represented by navigation marks is an important task for unmanned ships and intelligent navigation systems, and the sensing can be performed by recognizing the images from a camera. In order to improve the image recognition accuracy, this paper combined a contour accentuation algorithm into a multiple scale attention mechanism-based classification model for navigation marks. Experimental results show that the method increases the accuracy of navigation mark classification from 95.98% to 96.53%. Based on the classification model, an intelligent navigation mark recognition system was developed for the Changjiang Nanjing Waterway Bureau, in which the model is deployed and updated by the TensorFlow Serving.

Multifunctional stereoscopic machine vision system with multiple 3D outputs

2020 ◽  
Keyword(s):  
Machine Vision ◽  
International Symposium ◽  
Fast Track ◽  
Vision System ◽  
Machine Vision System ◽  
Stereoscopic Displays ◽  
Electronic Imaging

Fast track article for IS&T International Symposium on Electronic Imaging 2020: Stereoscopic Displays and Applications proceedings.

Research on visual recognition intelligent system of city brand image based on fuzzy theory and regional culture

2021 ◽  
pp. 1-9
Author(s):  
Lin Han ◽  
Lu Han
Keyword(s):  
Neural Network ◽  
Visual Recognition ◽  
Intelligent System ◽  
Brand Image ◽  
Fuzzy Theory ◽  
Recognition System ◽  
Market Competitiveness ◽  
Visual Identity ◽  
Fuzzy Neural ◽  
Intelligent Recognition

With the rapid development of China’s market economy, brand image is becoming more and more important for an enterprise to enhance its market competitiveness and occupy a favorable market share. However, the brand image of many established companies gradually loses with the development of society and the improvement of people’s aesthetic pursuit. This has forced it to change its corporate brand image and regain the favor of the market. Based on this, this article combines the related knowledge and concepts of fuzzy theory, from the perspective of visual identity design, explores the development of corporate brand image visual identity intelligent system, and aims to design a set of visual identity system that is different from competitors in order to shape the enterprise. Distinctive brand image and improve its market competitiveness. This article first collected a large amount of information through the literature investigation method, and made a systematic and comprehensive introduction to fuzzy theory, visual recognition technology and related theoretical concepts of brand image, which laid a sufficient theoretical foundation for the later discussion of the application of fuzzy theory in the design of brand image visual recognition intelligent system; then the fuzzy theory algorithm is described in detail, a fuzzy neural network is proposed and applied to the design of the brand image visual recognition intelligent system, and the design experiment of the intelligent recognition system is carried out; finally, through the use of the specific case of KFC brand logo, the designed intelligent recognition system was tested, and it was found that the visual recognition intelligent system had an overall accuracy rate of 96.08% for the KFC brand logo. Among them, the accuracy rate of color recognition was the highest, 96.62%; comparing the changes in the output value of the training sample and the test sample, the output convergence effect of the color network is the best; through the comparison test of the BP neural network, the recognition effect of the fuzzy neural network is better.

scholarly journals A real-time machine-vision system for monitoring the textile raising process

2005 ◽  
Vol 56 (8-9) ◽  
pp. 831-842 ◽  
Author(s):  
Monica Carfagni ◽  
Rocco Furferi ◽  
Lapo Governi
Keyword(s):  
Machine Vision ◽  
Real Time ◽  
Vision System ◽  
Machine Vision System ◽  
Time Machine

A research on an intelligent recognition tool for bronze inscriptions of the Shang and Zhou dynasties

2020 ◽  
Vol 4 (4) ◽  
pp. 271-279
Author(s):  
Rui Guo
Keyword(s):  
Computer Technology ◽  
Character Recognition ◽  
Chinese Character ◽  
Research Process ◽  
Chinese Characters ◽  
Chinese Character Recognition ◽  
The World ◽  
Bronze Inscriptions ◽  
Intelligent Recognition ◽  
Functional Components

The intelligent recognition tool for bronze inscriptions of the Shang and Zhou dynasties—the “Shang Zhou Bronze Inscriptions Intelligent Mirror”—was successfully invented in Shanghai. This mirror, based on the computer technology of artificial intelligence (AI) image recognition and image retrieval, succeeds in automagical recognition of bronze inscriptions, both single letters and full texts. This research leads the trend of the AI recognition of Ancient Chinese characters and accumulates valuable experience for the development of inter-disciplinary research on Chinese character recognition. This essay emphasizes the importance of the bronze inscriptions of the Shang and Zhou dynasty database in the AI recognition of bronze inscriptions, introduces the functional components of this tool, and shares the whole research process in order to offer experience for the related research on AI recognition of other types of Ancient Chinese characters as well as ideographs in the world scope. “Shang Zhou Bronze Inscriptions Intelligent Mirror” as a tool for bronze inscription recognition also has room for improvement and support, and guidance from experts in similar areas is greatly welcomed.

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