scholarly journals Introducing Zoomify Image

2007 ◽  
Vol 26 (1) ◽  
pp. 48 ◽  
Author(s):  
Adam Smith
Keyword(s):  
Image Processing ◽  
Response Times ◽  
Image Data ◽  
Web Browser ◽  
Cornell University ◽  
High Resolution Images ◽  
Cross Platform ◽  
Processing Software ◽  
Image Processing Software ◽  
The Web

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.

A new image processing software system for structural analysis and contrast enhancement

1978 ◽  
Vol 36 (1) ◽  
pp. 210-211
Author(s):  
Joachim Frank ◽  
Brian Shimkin
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Image Data ◽  
Present System ◽  
Software System ◽  
Point Mapping ◽  
Digital Equipment Corp ◽  
Electron Image ◽  
Processing Software ◽  
Image Processing Software

We report on the development of a new image processing software system SPIDER (System for Processing of Image Data in Electron Microscopy and Related Fields). The need for a user-oriented software system for electron image processing has been previously recognized /1-4/. These systems have in common that they allow users with a minimum amount of computer experience to define complex operations on images.The present system runs under the PDP 11/45 RSX-11D (Digital Equipment Corp.) executive in a multi-user, multi-task environment. Image enhancement of large images (e.g., box convolution and point mapping operations) as well as structural electron microscopy (Fourier operations, 3-d reconstruction) had to be accommodated. Characteristic for the electron microscope application is the need to process series of images closely related to each other (defocus, tilting, and averaging series).In SPIDER, the images are read and transferred by magnetic tape from the microdensitometer to PDP 11 disk files.

Engine Informationization Platform Design

2011 ◽  
Vol 63-64 ◽  
pp. 761-764
Author(s):  
Ying Shi ◽  
Liang Wang
Keyword(s):  
Image Processing ◽  
Web Design ◽  
The Other ◽  
Connecting Rod ◽  
Web Page ◽  
Design Software ◽  
Processing Software ◽  
Image Processing Software ◽  
Efficient Learning ◽  
The Web

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.

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.

scholarly journals Demineralization Depth Using QLF and a Novel Image Processing Software

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Jun Wu ◽  
Zachary R. Donly ◽  
Kevin J. Donly ◽  
Steven Hackmyer
Keyword(s):  
Image Processing ◽  
Linear Regression ◽  
Polarized Light ◽  
Region Of Interest ◽  
Linear Regression Method ◽  
Percent Loss ◽  
Significant Linear Correlation ◽  
Processing Software ◽  
Image Processing Software ◽  
Imagej Software

Quantitative Light-Induced fluorescence (QLF) has been widely used to detect tooth demineralization indicated by fluorescence loss with respect to surrounding sound enamel. The correlation between fluorescence loss and demineralization depth is not fully understood. The purpose of this project was to study this correlation to estimate demineralization depth. Extracted teeth were collected. Artificial caries-like lesions were created and imaged with QLF. Novel image processing software was developed to measure the largest percent of fluorescence loss in the region of interest. All teeth were then sectioned and imaged by polarized light microscopy. The largest depth of demineralization was measured by NIH ImageJ software. The statistical linear regression method was applied to analyze these data. The linear regression model wasY=0.32X+0.17, whereXwas the percent loss of fluorescence andYwas the depth of demineralization. The correlation coefficient was 0.9696. The two-tailed t-test for coefficient was 7.93, indicating theP-value=.0014. TheFtest for the entire model was 62.86, which shows theP-value=.0013. The results indicated statistically significant linear correlation between the percent loss of fluorescence and depth of the enamel demineralization.

Sign in / Sign up

Export Citation Format

Share Document