Hardware implementation of machine vision systems: image and video processing

Botella, Guillermo; Garcı́a, Carlos; Meyer-Bäse, Uwe

doi:10.1186/1687-6180-2013-152

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…The image algorithm could be widely implemented, including on digital signal processors (DSP) [13], central processing units (CPU) [14], graphic processing units (GPU) [15], and field programmable gate arrays (FPGA) [16,17]. Typically, the system onboard chip (SoC) structure is complex and challenging to exploit or maintain.…”

Section: Proposed Solutionmentioning

confidence: 99%

Laser Beam Jitter Control Based on a LabVIEW FPGA Control System

Zhang

Cheng

Xia

2023

Optics

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The thermal blooming effect, platform jitter, and other effects of laser beam propagation cause serious deviation, which will have a negative impact on laser tracking systems. It is important to ensure that the laser beam does not deviate. Based on a fast steering mirror, a CMOS camera, and a Flex RIO system, a laser beam jitter control system is designed and implemented. The error is detected by camera and compensated for by the fast steering mirror (FSM), which is controlled by the Flex RIO device. By using LabVIEW and MATLAB, a closed loop model is realized. The results show that the system response is highly stabilized and has a short rise time, providing a reference for engineering applications.

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Section: Proposed Solutionmentioning

confidence: 99%

Laser Beam Jitter Control Based on a LabVIEW FPGA Control System

Zhang

Cheng

Xia

2023

Optics

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“…In order to show the students the practical interest of image processing programmes, we provide them with various classical papers of the special issue [16] concerning hardware implementation of image vision systems, and invariant feature transforms [17], [18]. The students process images acquired with the Webcam.…”

Section: Applicationmentioning

confidence: 99%

Raspberry Pi for image processing education

Marot

Bourennane

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-This paper firstly describes the development and evaluation of a project course which yields university students building a complete hardware and software chain for a digital image processing application. To arouse the interest and learning initiative of students, we propose them to build a setup including a Raspberry Pi and image processing programmes. This inexpensive single board computer answers today's issues in energy saving and permits to review fundamental hardware and software principles. Secondly, we propose a low-cost setup for a time-limited practical work: a Raspberry Pi is shared and controlled remotely by several student pairs: we emphasize the interest of collaborative work, and we provide knowledge and skills about micro-computers to a large number of students simultaneously.

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“…However, this work is a replica of original work carried out by Fang et al [15] and doesn't show many novel features in work. Usage of FPGA was also advocated by Botella et al [23]. In existing system, FPGA was used in a different way too.…”

Section: Related Workmentioning

confidence: 99%

ROI-based Compression on Radiological Image by Urdhva-Tiryagbhyam and DWT Over FPGA

Suma¹,

Sridhar²

2017

ijacsa

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Abstract-The area of radiological image compression has not yet met its potential solution. After reviewing the existing mechanism of compression, it was found that majority of the existing techniques suffers from significant pitfalls e.g. more usage of transformation schemes, more resource utilization, delay, less focus on FPGA performance enhancement, extremely less emphasis on Vedic-multipliers. Hence, this paper presents an analytical modelling of ROI (Region of Interest)-based radiological image compression that applies Vedic Multiplier Urdhva-Tiryagbhyam to enhance the performance of coding using Discrete Wavelet Transform (DWT). The study outcome was implemented in Matlab and multiple test bed of FPGA devices (Virtex 4 FX100 -12 FF1152 and Spartan 3 XC400-5TQ144) and assessed using both visual and numerical outcomes to find that proposed system excel better performance in comparison to recently existing techniques.

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Hardware implementation of machine vision systems: image and video processing

Cited by 6 publications

References 19 publications

Laser Beam Jitter Control Based on a LabVIEW FPGA Control System

Laser Beam Jitter Control Based on a LabVIEW FPGA Control System

Raspberry Pi for image processing education

ROI-based Compression on Radiological Image by Urdhva-Tiryagbhyam and DWT Over FPGA

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