Development of an image processing software for medical thermogram analysis using a commercially available image processing system

From rest to exercise and from two-dimensional to three-dimensional, digital image processing software can be multi-angle, multi-dimension, multi-direction infiltration for the various fields of design, which has wide applications in every corner of digital media. Firstly, the digital image processing software can analyze the common digital processing system model. On the basis of the principle of RGB color histogram, it also can analyze its application in the ceramic design. According to the set of image transformation principle, the analysis of the geometric transformation plays an important role in in ceramic set, to provide the theoretical basis for the digital image processing software to a certain extent.

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Research on the Multi-Spectrum Imaging System Based on Vision Technology

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.443-444.488 ◽

2012 ◽

Vol 443-444 ◽

pp. 488-494

Author(s):

Xuan Hong Jin ◽

Zheng Yang Zhou ◽

Ran Xu

Keyword(s):

Image Processing ◽

Virtual Instrument ◽

Imaging System ◽

Color Image ◽

Processing System ◽

New Type ◽

Spectrum Imaging ◽

Processing Software ◽

Image Processing Software ◽

Labview Platform

This paper introduces an acquiring and processing system of a new type of optical spectrometer based on vision technology. It mainly introduces the hardware structure to acquire the spectrums dispersed by the spectrometer, and the multi-spectrum image processing software as well. Of the different spectrum wavelengths ranges from 400nm to 740nm, the system can create both the color image and the 68 channels gray scale image. Virtual instruments technology is introduced into this system and it makes programming easier and faster by combining virtual instrument and vision technology. The programming of the image processing software uses LabVIEW platform.

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Image Processing System Architecture Design Based on UML

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.694-697.2251 ◽

2013 ◽

Vol 694-697 ◽

pp. 2251-2256

Author(s):

Hong Cheng Liu ◽

Peng Tong

Keyword(s):

Image Processing ◽

System Modeling ◽

Processing System ◽

Software System ◽

Modeling Tools ◽

Object Oriented Design ◽

Unified Process ◽

Processing Software ◽

Image Processing Software ◽

Set Up

This paper put emphasis on discuss some peculiarity of UML apply method of object-oriented design on B/S software system. And then based on the analysis of rational unified process, modeled B/S mode image processing software system with visio 2003 modeling tools; with iterative and agglomerate modeling scheme of UML, the framework of image processing software system, which set up the base of this system, and a scheme of B/S system modeling is hold and arranged.

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Multispectral aerial image processing system for precision agriculture

Sistemas y Telemática ◽

10.18046/syt.v16i47.3221 ◽

2018 ◽

Vol 16 (47) ◽

Author(s):

Samy Kharuf-Gutierrez ◽

Rubén Orozco-Morales ◽

Osmany de la C. Aday Díaz ◽

Emma Pineda Ruiz

Keyword(s):

Image Processing ◽

Precision Agriculture ◽

Processing System ◽

Aerial Images ◽

Aerial Image ◽

Image Processing System ◽

Vegetation Indexes ◽

Hydric Stress ◽

Processing Software ◽

Number Of Stems

Cuban agriculture has the growing need to increase its productivity. To achieve this, precision agriculture can play a fundamental role. It is necessary to develop an image processing system able to process all the crops information and calculate vegetation indexes in a satisfactory way. This will entail in accurate measurements of the nitrogen lack, the hydric stress, and the vegetal strength, among other aspects, seeking to improve the accuracy in the care of these aspects. This document reports the results of an investigation pointed to develop a procedure for capturing and processing multispectral aerial images obtained from Unmanned Aerial Vehicles [UAV]. This procedure searched to measure the vegetation indexes of sugarcane crops that may be correlated with the level of vegetal strength, the number of stems, and the foliar mass per lot. We used a USENSE-X8 UAV together with a Sequoia multispectral sensor and the QGIS processing software. The procedure was experimentally validated.

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Analysis of the 9th November 1990 flare

International Astronomical Union Colloquium ◽

10.1017/s025292110006454x ◽

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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Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010014484x ◽

1986 ◽

Vol 44 ◽

pp. 694-695

Author(s):

G.Y. Fan ◽

J.M. Cowley

Keyword(s):

Image Processing ◽

Pattern Recognition ◽

Computer Software ◽

Processing System ◽

Light Level ◽

Host Computer ◽

Low Light ◽

Image Processing System ◽

Recent Developments ◽

On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

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