Tapetool: a software tool for importing image data from image acquisition computers to image processing computers

1990 ◽  
Vol 33 (4) ◽  
pp. 213-219 ◽  
Author(s):  
Venkat R. Mandava ◽  
Robert J. Maciunas ◽  
J. Michael Fitzpatrick
Keyword(s):  
Image Processing ◽  
Image Acquisition ◽  
Image Data ◽  
Software Tool

Design of Image Transmission Platform Based on FPGA and USB

2014 ◽  
Vol 543-547 ◽  
pp. 862-865
Author(s):  
Bo Ya Zhang ◽  
Xiao Hui Yang
Keyword(s):  
Image Processing ◽  
Data Transmission ◽  
Image Acquisition ◽  
Image Data ◽  
Image Transmission ◽  
Nios Ii ◽  
Cpu Utilization

This paper designed an image transmission based on FPGA and USB platform, it can complete the verification function of the image acquisition. The image data was stored in the external SDRAM of the FPGA, using Nios II to control each module, it was sent to PC through the UAB bus used CY7C68013A chip and displayed on LabVIEW. In the process of data transmission, the DMA technology accelerated the speed of transmission and reduced the rate of CPU utilization. After experiments, this platform accomplished the functions of image acquisition, image processing and binocular positioning; it has a simple, intuitive display and good compatibility characteristics.

Research on 3D Modeling System Based on Binocular Vision Image Acquisition

2013 ◽  
Vol 385-386 ◽  
pp. 640-643
Author(s):  
Jing Zhang ◽  
Ru Gao ◽  
Chun Yan Liu ◽  
Ya Wei Zhao
Keyword(s):  
Image Processing ◽  
Image Acquisition ◽  
Three Dimensional ◽  
Image Data ◽  
Scanning System ◽  
Two Dimensional ◽  
Dimensional Image ◽  
Two Dimensional Image ◽  
Three Dimensional Modeling ◽  
Ccd Sensor

Three-dimensional modeling of the image acquisition system based on binocular computer vision scanning system scene with MCU processing the two-dimensional image data collected by the CCD sensor, and complete the image binarization processing using hardware, to improve the efficiency of the image processing; using timing delay analysis circuit the edge of the identification image characteristics, the data amount of the compression of the image processing; will be collected by the CCD sensor the two-dimensional image data transmission to a computer, thereby effectively shortening the transmission time of the data.

scholarly journals Learning Photogrammetry with Interactive Software Tool PhoX

2016 ◽  
Vol XLI-B6 ◽  
pp. 39-44 ◽  
Author(s):  
T. Luhmann
Keyword(s):  
Image Processing ◽  
Image Data ◽  
Software Tool ◽  
Quality Parameters ◽  
University Teaching ◽  
Analysis Tool ◽  
Orientation Data ◽  
Wide Range ◽  
High Level ◽  
Almost All

Photogrammetry is a complex topic in high-level university teaching, especially in the fields of geodesy, geoinformatics and metrology where high quality results are demanded. In addition, more and more black-box solutions for 3D image processing and point cloud generation are available that generate nice results easily, e.g. by structure-from-motion approaches. Within this context, the classical approach of teaching photogrammetry (e.g. focusing on aerial stereophotogrammetry) has to be reformed in order to educate students and professionals with new topics and provide them with more information behind the scene. Since around 20 years photogrammetry courses at the Jade University of Applied Sciences in Oldenburg, Germany, include the use of digital photogrammetry software that provide individual exercises, deep analysis of calculation results and a wide range of visualization tools for almost all standard tasks in photogrammetry. During the last years the software package PhoX has been developed that is part of a new didactic concept in photogrammetry and related subjects. It also serves as analysis tool in recent research projects. PhoX consists of a project-oriented data structure for images, image data, measured points and features and 3D objects. It allows for almost all basic photogrammetric measurement tools, image processing, calculation methods, graphical analysis functions, simulations and much more. <br><br> Students use the program in order to conduct predefined exercises where they have the opportunity to analyse results in a high level of detail. This includes the analysis of statistical quality parameters but also the meaning of transformation parameters, rotation matrices, calibration and orientation data. As one specific advantage, PhoX allows for the interactive modification of single parameters and the direct view of the resulting effect in image or object space.

Research and Design of Image Acquisition System Using USB2.0 Interface

2013 ◽  
Vol 347-350 ◽  
pp. 1594-1597
Author(s):  
Jin Hai Zhang
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Image Acquisition ◽  
Image Data ◽  
Acquisition System ◽  
Computer Interface ◽  
Processing Technologies ◽  
Acquisition Device ◽  
Image Acquisition System ◽  
Research And Design

Image acquisition is to study an image acquisition, transmission and storage of information, is the basis of image processing technologies. Currently most of the image acquisition device through the computer interface in the image data into the computer, with high speed and large storage capacity of the computer complete the image acquisition. Traditional computer interface in image processing of data if there is a problem such as high cost, inconvenience, in response to this situation, this paper proposes a USB2.0 interface technology of image acquisition system programme.

scholarly journals Learning Photogrammetry with Interactive Software Tool PhoX

2016 ◽  
Vol XLI-B6 ◽  
pp. 39-44
Author(s):  
T. Luhmann
Keyword(s):  
Image Processing ◽  
Image Data ◽  
Software Tool ◽  
Quality Parameters ◽  
University Teaching ◽  
Analysis Tool ◽  
Orientation Data ◽  
Wide Range ◽  
High Level ◽  
Almost All

Photogrammetry is a complex topic in high-level university teaching, especially in the fields of geodesy, geoinformatics and metrology where high quality results are demanded. In addition, more and more black-box solutions for 3D image processing and point cloud generation are available that generate nice results easily, e.g. by structure-from-motion approaches. Within this context, the classical approach of teaching photogrammetry (e.g. focusing on aerial stereophotogrammetry) has to be reformed in order to educate students and professionals with new topics and provide them with more information behind the scene. Since around 20 years photogrammetry courses at the Jade University of Applied Sciences in Oldenburg, Germany, include the use of digital photogrammetry software that provide individual exercises, deep analysis of calculation results and a wide range of visualization tools for almost all standard tasks in photogrammetry. During the last years the software package PhoX has been developed that is part of a new didactic concept in photogrammetry and related subjects. It also serves as analysis tool in recent research projects. PhoX consists of a project-oriented data structure for images, image data, measured points and features and 3D objects. It allows for almost all basic photogrammetric measurement tools, image processing, calculation methods, graphical analysis functions, simulations and much more. <br><br> Students use the program in order to conduct predefined exercises where they have the opportunity to analyse results in a high level of detail. This includes the analysis of statistical quality parameters but also the meaning of transformation parameters, rotation matrices, calibration and orientation data. As one specific advantage, PhoX allows for the interactive modification of single parameters and the direct view of the resulting effect in image or object space.

An alumina rotary kiln monitoring system based on flame image processing

2018 ◽  
Vol 41 (10) ◽  
pp. 2764-2771
Author(s):  
Chaoqun Lin ◽  
Zhengming Yi ◽  
Zhiwei Jiang
Keyword(s):  
Image Processing ◽  
Rotary Kiln ◽  
Image Acquisition ◽  
Image Data ◽  
Processing Method ◽  
Sintering Process ◽  
Combustion Condition ◽  
Operational Optimization ◽  
Image Acquisition System ◽  
Rotary Kilns

In order to monitor the combustion condition and improve the product material quality, a digital image acquisition and processing method is adopted in alumina-sintering process. Two digital properties of flame grade and material grade are obtained by image data analyzing and smooth filtering, which provide reliable reference for operational optimization and automatic control of rotary kilns. This image acquisition system improves the operation of kiln effectively and reduces the working intensity and the manufacture cost.

scholarly journals Raspberry Pi Powered Imaging for Plant Phenotyping

2017 ◽  
Author(s):  
Jose C. Tovar ◽  
J. Steen Hoyer ◽  
Andy Lin ◽  
Allison Tielking ◽  
Monica Tessman ◽  
...  
Keyword(s):  
Image Processing ◽  
Open Source ◽  
High Throughput ◽  
Plant Diversity ◽  
Low Cost ◽  
Image Acquisition ◽  
Image Data ◽  
Raspberry Pi ◽  
Source Image ◽  
Plant Image

ABSTRACTPremise of the study: Image-based phenomics is a powerful approach to capture and quantify plant diversity. However, commercial platforms that make consistent image acquisition easy are often cost-prohibitive. To make high-throughput phenotyping methods more accessible, low-cost microcomputers and cameras can be used to acquire plant image data.Methods and Results: We used low-cost Raspberry Pi computers and cameras to manage and capture plant image data. Detailed here are three different applications of Raspberry Pi controlled imaging platforms for seed and shoot imaging. Images obtained from each platform were suitable for extracting quantifiable plant traits (shape, area, height, color) en masse using open-source image processing software such as PlantCV.Conclusion: This protocol describes three low-cost platforms for image acquisition that are useful for quantifying plant diversity. When coupled with open-source image processing tools, these imaging platforms provide viable low-cost solutions for incorporating high-throughput phenomics into a wide range of research programs.

Designation of Image Acquisition Module Based on the C8051F340

2012 ◽  
Vol 588-589 ◽  
pp. 769-772
Author(s):  
Xin Bin Zhang ◽  
Shi Zhong Li
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Data Acquisition ◽  
Simple Structure ◽  
Image Acquisition ◽  
Image Data ◽  
Image Sensor ◽  
Software Implementation ◽  
Wireless Transmission ◽  
Data Acquisition Module

The image data acquisition module mainly completes the collection of image data and transmits the collected data to the wireless transmission module. This paper mainly discusses the hardware components of the image acquisition module and software implementation. The collected image quality influences image processing, therefore the choice of image sensor is an important part of this system. This is a OV7670 image sensor. The master controller uses C8051F340 MCU. C8051F MC’s frequency has been greatly improved compared with ordinary 51 MCU, and has the advantages of simple structure, interface expansion capability, low prices and better performance.

Digital differential hysteresis iimage processing displays what the microscope acquires but the eye can't see

1995 ◽  
Vol 53 ◽  
pp. 642-643
Author(s):  
Klaus-Ruediger Peters
Keyword(s):  
Image Processing ◽  
Visual System ◽  
High Precision ◽  
Image Data ◽  
Processing Technology ◽  
Output Data ◽  
Contrast Resolution ◽  
Pixel Intensity ◽  
Data Reading ◽  
Hysteresis Properties

Differential hysteresis processing is a new image processing technology that provides a tool for the display of image data information at any level of differential contrast resolution. This includes the maximum contrast resolution of the acquisition system which may be 1,000-times higher than that of the visual system (16 bit versus 6 bit). All microscopes acquire high precision contrasts at a level of <0.01-25% of the acquisition range in 16-bit - 8-bit data, but these contrasts are mostly invisible or only partially visible even in conventionally enhanced images. The processing principle of the differential hysteresis tool is based on hysteresis properties of intensity variations within an image.Differential hysteresis image processing moves a cursor of selected intensity range (hysteresis range) along lines through the image data reading each successive pixel intensity. The midpoint of the cursor provides the output data. If the intensity value of the following pixel falls outside of the actual cursor endpoint values, then the cursor follows the data either with its top or with its bottom, but if the pixels' intensity value falls within the cursor range, then the cursor maintains its intensity value.

Information and estimation in image processing

1987 ◽  
Vol 45 ◽  
pp. 14-17
Author(s):  
B. Roy Frieden
Keyword(s):  
Image Processing ◽  
Optical System ◽  
Large Amplitude ◽  
Communication Theory ◽  
Image Data ◽  
Direct Approach ◽  
Ill Posed

Despite the skill and determination of electro-optical system designers, the images acquired using their best designs often suffer from blur and noise. The aim of an “image enhancer” such as myself is to improve these poor images, usually by digital means, such that they better resemble the true, “optical object,” input to the system. This problem is notoriously “ill-posed,” i.e. any direct approach at inversion of the image data suffers strongly from the presence of even a small amount of noise in the data. In fact, the fluctuations engendered in neighboring output values tend to be strongly negative-correlated, so that the output spatially oscillates up and down, with large amplitude, about the true object. What can be done about this situation? As we shall see, various concepts taken from statistical communication theory have proven to be of real use in attacking this problem. We offer below a brief summary of these concepts.

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