Edge Detection and Accurate Rectification Technology in the Digital Detection for Dry Cell Substratum Pixel

2013 ◽  
Vol 706-708 ◽  
pp. 593-596
Author(s):  
Xue Jun Tian ◽  
Quan Jun Xie ◽  
Feng Ye
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
High Speed ◽  
Visual Image ◽  
Naked Eye ◽  
Detection Technology ◽  
Comprehensive Performance ◽  
The World ◽  
Dry Cell ◽  
Battery Industry

The development of dry cell production in the world is advancing towards the high-speed and intellectualization direction, the input reduction for production cost by improving the comprehensive performance level and utilizing the advanced equipment has been the urgent demand for development of battery industry. The lagging situation that the detection by naked eye manually is relied to perform the quality assurance for dry cell substratum is broken based on the online high-speed automatic detection technology for pixel digitization of visual image. The principles on battery image processing and feature division as well as the principle on pixel over- fitting and accurate rectification during the process of pixel digitization detection for dry cell substratum are discussed in this paper, and such base and core for battery image processing as edge detection and accurate rectification technology are described.

Design of Intelligent System for Soccer Goal Detection Based on Opto-Electronic Technology

2013 ◽  
Vol 717 ◽  
pp. 585-587
Author(s):  
Qing Lai Zhang ◽  
Xin Ming Tian ◽  
Zhan Ling Meng
Keyword(s):  
High Speed ◽  
Intelligent System ◽  
High Technology ◽  
Infrared Detection ◽  
World Cup ◽  
Detection Technology ◽  
The World ◽  
Goal Detection ◽  
The Moment

With the continuous development of football games, more and more football matches are hold in the world. From the World Cup to the big league, the erroneous decisions of the goals by referee always became the focus of the games. Federation International de Football Association (FIFA) is discussing now to introduce high technology to the football games to assist the judgment of the referee. In this paper, an advanced detection technology for soccer goal is proposed. This goal detection technology is based on the optical principle, high speed camera, as long as infrared detection devices. By detecting the change of electronic signal in the moment of goal, which can cut off the laser beam, the goal can be detected. In addition, the detection results and in-situ video are transmitted in real time to the arbitrators, which can reduce the goal disputes and make the game of football more fair.

Research on Edge Detection Technology

2013 ◽  
Vol 860-863 ◽  
pp. 2884-2887 ◽  
Author(s):  
Yu Bing Dong ◽  
Ming Jing Li ◽  
Hai Yan Wang
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Canny Edge Detection ◽  
Detection Techniques ◽  
Image Edge Detection ◽  
Detection Technology ◽  
Canny Edge ◽  
Important Field ◽  
Image Edge ◽  
Better Than

Edge detection is an important field in image processing. Edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection techniques. Various image edge detection techniques are introduced. These techniques are compared by using MATLAB7.0. The qualities of these techniques are elaborated. The results show that Canny edge detection techniques is better than others.

A basic introduction to image processing using NIH-Image as a model

1994 ◽  
Vol 52 ◽  
pp. 392-393
Author(s):  
John Mansfield
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Image Acquisition ◽  
Digital Instrument ◽  
Novice User ◽  
Nih Image ◽  
The Past ◽  
Digital World ◽  
The World ◽  
Instrument Control

Advances in camera technology and digital instrument control have meant that in modern microscopy, the image that was, in the past, typically recorded on a piece of film is now recorded directly into a computer. The transfer of the analog image seen in the microscope to the digitized picture in the computer does not mean, however, that the problems associated with recording images, analyzing them, and preparing them for publication, have all miraculously been solved. The steps involved in the recording an image to film remain largely intact in the digital world. The image is recorded, prepared for measurement in some way, analyzed, and then prepared for presentation.Digital image acquisition schemes are largely the realm of the microscope manufacturers, however, there are also a multitude of “homemade” acquisition systems in microscope laboratories around the world. It is not the mission of this tutorial to deal with the various acquisition systems, but rather to introduce the novice user to rudimentary image processing and measurement.

The Innovation Cluster «The Velvet Way» and Ukrainian Scientific and Technical Break into the World Market of Building of High-Speed Railways

2010 ◽  
Vol 6 (2) ◽  
pp. 69-86
Author(s):  
B.Ye. Paton ◽  
◽  
M.D. Kostyuk ◽  
S.I. Kuchuk-Yatsenko ◽  
O.A. Mazur ◽  
...  
Keyword(s):  
High Speed ◽  
World Market ◽  
Innovation Cluster ◽  
The World

HIGH-SPEED OBSERVATIONS OF HIGHLY EROSIVE VORTEX CAVITATION USING IMAGE PROCESSING

1995 ◽  
Vol 2 (2) ◽  
pp. 161-172 ◽  
Author(s):  
Kohtaro Ohba ◽  
Hitoshi Soyama ◽  
Sho Takeda ◽  
Hikaru Inooka ◽  
Risaburo Oba
Keyword(s):  
Image Processing ◽  
High Speed

EAST INDIAN AND OTHER DOCKS IN LONDON: IMPERIAL ARCHITECTURE, COLONIAL TRADE AND POSTCOLONIAL MEMORY

2020 ◽  
pp. 190-205
Author(s):  
S. E. Sidorova ◽  
Keyword(s):  
20Th Century ◽  
Industrial Revolution ◽  
Historical Memory ◽  
Visual Image ◽  
East Indian ◽  
Architectural Representation ◽  
The World ◽  
The Status ◽  
Postcolonial History ◽  
The City

The article concentrates on the colonial and postcolonial history, architecture and topography of the southeastern areas of London, where on both banks of the River Thames in the 18th–20th centuries there were located the docks, which became an architectural and engineering response to the rapidly developing trade of England with territories in the Western and Eastern hemispheres of the world. Constructions for various purposes — pools for loading, unloading and repairing ships, piers, shipyards, office and warehouse premises, sites equipped with forges, carpenter’s workshops, shops, canteens, hotels — have radically changed the bank line of the Thames and appearance of the British capital, which has acquired the status of the center of a huge empire. Docks, which by the beginning of the 20th century, occupied an area of 21 hectares, were the seamy side of an imperial-colonial enterprise, a space of hard and routine work that had a specific architectural representation. It was a necessary part of the city intended for the exchange of goods, where the usual ideas about the beauty gave way to considerations of safety, functionality and economy. Not distinguished by architectural grace, chaotically built up, dirty, smoky and fetid, the area was one of the most significant symbols of England during the industrial revolution and colonial rule. The visual image of this greatness was strikingly different from the architectural samples of previous eras, forcing contemporaries to get used to the new industrial aesthetics. Having disappeared in the second half of the 20th century from the city map, they continue to retain a special place in the mental landscape of the city and the historical memory of the townspeople, which is reflected in the chain of museums located in this area that tell the history of English navigation, England’s participation in geographical discoveries, the stages of conquering the world, creating an empire and ways to acquire the wealth of the nation.

Algorithms for segmentation and recognition of objects on medical images based on chiarlet transformation and neural networks

2020 ◽  
pp. 35-45
Author(s):  
Y.A. Hamad ◽  
K.V. Simonov ◽  
A.S. Kents
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Computer Vision ◽  
Edge Detection ◽  
Medical Images ◽  
Classification Algorithms ◽  
Visual Data ◽  
Recognition Of Objects

The paper considers general approaches to image processing, analysis of visual data and computer vision. The main methods for detecting features and edges associated with these approaches are presented. A brief description of modern edge detection and classification algorithms suitable for isolating and characterizing the type of pathology in the lungs in medical images is also given.

Efficient Computing in Image Processing and DSPs with ASIP Based Multiplier

2019 ◽  
Vol 13 (2) ◽  
pp. 174-180
Author(s):  
Poonam Sharma ◽  
Ashwani Kumar Dubey ◽  
Ayush Goyal
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Computation Time ◽  
Digital Signal ◽  
Instruction Set ◽  
Computationally Efficient ◽  
Specific Instruction ◽  
Processor Core ◽  
Speed Performance ◽  
Application Specific

Background: With the growing demand of image processing and the use of Digital Signal Processors (DSP), the efficiency of the Multipliers and Accumulators has become a bottleneck to get through. We revised a few patents on an Application Specific Instruction Set Processor (ASIP), where the design considerations are proposed for application-specific computing in an efficient way to enhance the throughput. Objective: The study aims to develop and analyze a computationally efficient method to optimize the speed performance of MAC. Methods: The work presented here proposes the design of an Application Specific Instruction Set Processor, exploiting a Multiplier Accumulator integrated as the dedicated hardware. This MAC is optimized for high-speed performance and is the application-specific part of the processor; here it can be the DSP block of an image processor while a 16-bit Reduced Instruction Set Computer (RISC) processor core gives the flexibility to the design for any computing. The design was emulated on a Xilinx Field Programmable Gate Array (FPGA) and tested for various real-time computing. Results: The synthesis of the hardware logic on FPGA tools gave the operating frequencies of the legacy methods and the proposed method, the simulation of the logic verified the functionality. Conclusion: With the proposed method, a significant improvement of 16% increase in throughput has been observed for 256 steps iterations of multiplier and accumulators on an 8-bit sample data. Such an improvement can help in reducing the computation time in many digital signal processing applications where multiplication and addition are done iteratively.

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