scholarly journals Statistical Image Processing using Java on the Web

2002 ◽  
Vol 9 (2) ◽  
pp. 355-366
Author(s):  
Dong Hoon Lim ◽  
Eun Hee Park
Keyword(s):  
2007 ◽  
Vol 26 (1) ◽  
pp. 48 ◽  
Author(s):  
Adam Smith

Zoomify Image is a mature product for easily publishing large, high-resolution images on the Web. End users view these images with existing Webbrowser software as quickly as they do normal, downsampled images. A Flash-based Zoomifyer client asynchronously streams image data to the Web browser as needed, resulting in response times approaching those of desktop applications using minimal bandwidth. The author, a librarian at Cornell University and the principal architect of a small, open-source company, worked closely with Zoomify to produce a cross-platform, opensource implementation of that company’s image-processing software and discusses how to easily deploy the product into a widely used Webpublishing environment. Limitations are also discussed as are areas of improvement and alternatives.


Author(s):  
Yonghua Xiong ◽  
Shuangqing Yu ◽  
◽  

A novel growth evaluation system for tobacco planting (GESTP) based on a B/S architecture is introduced in this paper. It mainly consists of three parts: a mobile application (mobile app), a browser terminal and a server terminal. The GESTP system is used to evaluate the growth of tobacco and give farmers planting guidance instead them having to rely on personal judgment. Once the photos of the tobacco leaf and plant are uploaded to the web server via the mobile app or the browser terminal, the application program of the server terminal is called to process the tobacco images with image processing algorithms. The results including the grade of the tobacco growth and planting guidance will be provided to the client within a 2-second timeframe, which greatly help farmers understand the growth of tobacco and take planting measures. The running result indicates that the GESTP system provides an effective and straightforward way to evaluate the growth of tobacco and provides cultivation guidance to tobacco farmers.


One of the major problems in production is that the number of faults occurred while producing a fabric, since it directly influences productivity. To overcome the losses, this paper provides a system with special surveillance to detect the knitting process, identify and locate faults during manufacturing, by inspecting the fabric. The system also gives the user a valuable set of data related with production. This examination has demonstrated that picture handling can possibly give solid estimations to recognizing abandons in sewed textures. On-line texture deformity location was tried consequently by contrasting texture pictures caught by a computerized camera. In this way, it is demonstrated that the created picture catching and investigation framework is equipped for halting the round sewing machine by utilizing processor when a deformity is caught by the web camera.


2012 ◽  
Vol 433-440 ◽  
pp. 5722-5726
Author(s):  
Qing Hui Wang ◽  
Hong Wei Chai

Relying on powerful image processing capabilities and special parallel peripheral interface which is based on the ADI Corporation Blackfin561 DSP and using advanced H.264 video compression algorithm under the operate system of the uClinux. The implementation scheme of video image monitoring system based on B/S mode is proposed. By running the web boa server under the uClinux on the BF561 platform, the system realizes the video image acquisition,processing and network transmission.The result shows that the client can see the clearer images through the browser and the system meets the requirements of the remote video monitoring.


2017 ◽  
Vol 27 (1) ◽  
pp. 269-275 ◽  
Author(s):  
Pablo Conesa Mingo ◽  
José Gutierrez ◽  
Adrián Quintana ◽  
José Miguel de la Rosa Trevín ◽  
Airén Zaldívar-Peraza ◽  
...  
Keyword(s):  

Author(s):  
Chandan R

Image processing automated attendance system is the system in which easiest way to record the attendance for organization .This system is based on the face detection and face recognition algorithms. For this we make use of “Image Processing” using “MATLAB”. The concept of this paper is to provide real time attendance of students in a class to the faculty’s data base. Automatically detects the student using the web camera and only detect the facial part of that particular image and the image undergoes the various techniques and will compare with reference image, Later the attendance of the student is updated .Thus with the help of this system time will be saved and it is so convenient to record the attendance at any time throughout the day.


Author(s):  
Sedigheh Aghayari

One of the main properties of nanofiber webs is their porosity, and any application needs its porosity value. There are many applications which they high or low porosities. Electrospinning is a way to get high porosity, but in some applications, higher or lower porosities than electrospun webs are needed. Up to now, removing one part of the nanofiber web has been used to change the porosity. Here, a new way is introducing for reducing the porosity of the nanowebs, which chose a hydrophilic nanofiber as one part. In the past, only hydrophobic one’s use. We can get the visa versa results. Here a way used to reduce the porosity of the electrospun web which removed PVA nanofibers from PVA/PA6 hybrid nanoweb by water treatment. Measuring the porosity of the electrospun web before and after treatment by the BET method, density method, and image processing proved this. The specific surface area of the web was 70 % reduced after water treatment. After water treatment, the surface roughness and pore volume reduce. Also, the best way introduced for measuring the porosity. Image processing introduces as the best method for measuring the porosity of the nanowebs.


The health monitoring of the person can be done in the different ways. The health of the patient can be determined by the image processing technique. The biometric parameters can gather the details of the health condition of the patient. The digital image processing can be applied in the various filed such as medical, geology, research etc., In this paper they proposes the foot print technology this can capture the foot print of the patient by using the web cam. The captured image can be analyzed by using the shape and the dimension analysis. The foot print can reads the each person identity. Based upon the identity and the numbers the image processing system is implemented. It uses the raspberry pi as the main part. The data which is captured by the web cam can be stored in the SD card. The data allocation is done in the memory path. The classification of the data is takes place by using the data separation algorithm. The color analysis can takes place a significant place based upon the color we can able to classify the foot print and makes it for further analysis. There are several steps can be took place the image acquisition, edge detection, feature extraction, pattern recognition, pattern matching. The matched image can be provided as the better result. Based upon the result the health condition can be predicted. This method is highly effective and accurate when compared to other method


2018 ◽  
Vol 10 (8) ◽  
pp. 1274 ◽  
Author(s):  
Kiwon Lee ◽  
Kwangseob Kim

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.


2011 ◽  
Vol 63-64 ◽  
pp. 761-764
Author(s):  
Ying Shi ◽  
Liang Wang

Taking crank-connecting rod mechanism for example, this paper uses the Pro/E modeling, uses the 3D-MAX to create a disassembly animations, and then uses image processing software Fireworks and Web Design Software Dreamweaver(both belong to the webpage three swordsmen ) to design a basic page. The former two contents and the other searched information, such as courseware, pictures, enterprise-links and driving test and so on, as a resource to fill the web page. Finally completes the design of an informationization platform, making it to be an intuitive, comprehensive, efficient learning channel.


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