scholarly journals Error-proofing test system of industrial components based on image processing

2018 ◽  
Author(s):  
Ying Huang ◽  
Tao Huang
Keyword(s):  
Image Processing ◽  
Test System ◽  
Error Proofing

Research of Wheat Precision Seeding Test System Based on Image Processing

2011 ◽  
Vol 311-313 ◽  
pp. 1559-1563
Author(s):  
Hai Bo Lin ◽  
Shu Liang Dong ◽  
Yan Qiu ◽  
Chui Jie Yi
Keyword(s):  
Image Processing ◽  
High Efficiency ◽  
Test System ◽  
Structure Design ◽  
Design Parameters ◽  
Image Acquisition System ◽  
Processing Techniques ◽  
Seed Identification ◽  
Space Measurement ◽  
Selection Of

Wheat precision seeding test system is designed to develop a measurement device of wheat precision seeding with high efficiency and precision. The wheat seeds are falling from the seed sowing device to the conveyer belt. Using image processing techniques, the system gets the pictures of seeds on the belt. Then these pictures are processed and analyzed to calculate the qualified rate, reseeding rate and leakage sowing rate, etc. This paper introduces the whole structure, design parameters of the system, the hardware and software of the image acquisition system. Through selection of a proper threshold, the method of seed identification and seed-space measurement are given in this paper.

Applied-Information Technology in Random Naming System Based on Image Processing and Application

2014 ◽  
Vol 1046 ◽  
pp. 440-443
Author(s):  
Xiao Xiong Zhou ◽  
Tao Yan
Keyword(s):  
Image Processing ◽  
Information Technology ◽  
Student Performance ◽  
Test System ◽  
Test Results ◽  
Basic Information ◽  
Roll Call ◽  
Student Number ◽  
Call System ◽  
Traditional Class

The traditional class naming is take time, the effect is not good, and there will be many take another's place by counterfeiting phenomenon, So, this paper proposes a random naming system based on image processing. This paper establishes the database class students, including students some basic information, such as name, student number, photos; then establishes a random roll call system, which the teacher can random name evaluation, for students grades and attendance; finally, test system and further improve . Because the roll call to show the students the image clear based on image processing , avoid take another’s place by counterfeiting phenomenon, student performance improved significantly. The test results show that the random naming system we developed, convenient for teacher to student's attendance and can improve student the attendance.

A novel method for evaluating the slurry coating characteristics of sized yarns based on the starch-iodine color reaction principle and image processing

2020 ◽  
pp. 004051752098080
Author(s):  
Wenjun Yan ◽  
Bo Zhu ◽  
Jianli Liu ◽  
Weidong Gao
Keyword(s):  
Image Processing ◽  
Immersion Time ◽  
Test System ◽  
Color Reaction ◽  
Textile Mills ◽  
Slurry Coating ◽  
Acquisition Device ◽  
Coating Characteristics ◽  
Low Efficiency ◽  
The Stability

The slurry coating characteristics of sized yarns directly impact warp weavability. Due to the damage to sized films, the conventional methods of detecting sized-yarn coating characteristics have drawbacks of low efficiency and poor repeatability. A novel detecting method of slurry coating characteristics was proposed based on image processing. Through the starch-iodine color reaction principle, a self-made dynamic image acquisition device was developed in this paper, in which the apparent images of starch-based sized yarns after color reaction were captured consecutively. The slurry coating percentage ( SCP), slurry coating depth ( SCD) and slurry coating unevenness ( SCU), respectively reflecting the sizing coating integrity, sizing coating thickness and thickness unevenness, were extracted by image processing. The effects of experimental parameters, including immersion time and concentration of I2-KI solution, on slurry coating characteristics were analyzed, and central composite design was adopted to optimize the stability of the test system. Sized yarns commonly used in textile mills were characterized by the proposed method. The experimental results indicated that immersion time of 3.56 min and I2-KI concentration of 0.11‱ (‱ represents that the mass of the solute is one ten-thousandth of solution) led to the optimal stability of slurry coating characteristics (the CV of SCP, CV of SCD and CV of SCU were 3.32%, 5.56% and 9.37%, respectively). The much lower CV of the proposed method compared with conventional ones confirmed that the method was useful for evaluating slurry coating characteristics.

scholarly journals A Performance Evaluation of a Geo-Spatial Image Processing Service Based on Open Source PaaS Cloud Computing Using Cloud Foundry on OpenStack

2018 ◽  
Vol 10 (8) ◽  
pp. 1274 ◽  
Author(s):  
Kiwon Lee ◽  
Kwangseob Kim
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
Open Source ◽  
Service Providers ◽  
Test System ◽  
Platform As A Service ◽  
Spatial Image ◽  
Cloud Computing Service ◽  
Processing Service ◽  
The Web

Recently, web application services based on cloud computing technologies are being offered. In the web-based application field of geo-spatial data management or processing, data processing services are produced or operated using various information communication technologies. Platform-as-a-Service (PaaS) is a type of cloud computing service model that provides a platform that allows service providers to implement, execute, and manage applications without the complexity of establishing and maintaining the lower-level infrastructure components, typically related to application development and launching. There are advantages, in terms of cost-effectiveness and service development expansion, of applying non-proprietary PaaS cloud computing. Nevertheless, there have not been many studies on the use of PaaS technologies to build geo-spatial application services. This study was based on open source PaaS technologies used in a geo-spatial image processing service, and it aimed to evaluate the performance of that service in relation to the Web Processing Service (WPS) 2.0 specification, based on the Open Geospatial Consortium (OGC) after a test application deployment using the configured service supported by a cloud environment. Using these components, the performance of an edge extraction algorithm on the test system in three cases, of 300, 500, and 700 threads, was assessed through a comparison test with another test system, in the same three cases, using Infrastructure-as-a-Service (IaaS) without Load Balancer-as-a-Service (LBaaS). According to the experiment results, in all the test cases of WPS execution considered in this study, the PaaS-based geo-spatial service had a greater performance and lower error rates than the IaaS-based cloud without LBaaS.

scholarly journals Implementasi Pengenalan Jenis Pola Tapak Ban (Tread) Menggunakan Metode Local Binary Patterns

2020 ◽  
Vol 1 (3) ◽  
pp. 189
Author(s):  
Ambrosius Sitompul
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Automotive Industry ◽  
Rapid Development ◽  
Local Binary Patterns ◽  
Test System ◽  
Human Power ◽  
Eligibility Standards ◽  
Feasibility Test

The rapid development in the field of technology now makes matters easier, one of which is in the field of image processing, image processing has become a trend in the field of multimedia communication including the automotive industry. By doing image processing we can use the information contained in an image snapshot. In this study utilizing digital image processing technology for the introduction of each type of tire, tire condition is one of the important aspects of car eligibility standards, and standards that exist in Indonesia and are currently a bit neglected, this is thought to be one of the causes of accidents in Indonesia. Currently the existing tire feasibility test system is carried out by utilizing human power but humans have limitations

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Analysis of the 9th November 1990 flare

2000 ◽  
Vol 179 ◽  
pp. 229-232
Author(s):  
Anita Joshi ◽  
Wahab Uddin
Keyword(s):  
Image Processing ◽  
Two Dimensional ◽  
Temporal Behaviour ◽  
Contour Maps ◽  
Dimensional Measurements ◽  
Processing Software ◽  
Image Processing Software

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.

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