scholarly journals Digital Video Image Preprocessing Algorithm Based on Embedded System

2021 ◽  
Vol 2074 (1) ◽  
pp. 012004
Author(s):  
Ling Cheng
Keyword(s):  
Embedded System ◽  
Digital Video ◽  
Video Image ◽  
Network Interface ◽  
Median Filtering ◽  
Image Preprocessing ◽  
Filtering Algorithm ◽  
Video Images ◽  
Low Illumination ◽  
Wavelet Image

Abstract To solve the massive noise contained in the images acquired under low illumination, we designed a digital video image Preprocessing device with the denoising function. Based on the embedded CPU and operating system, video images are acquired by the camera. The noise contained in the video images is filtered by the improved median filtering algorithm and wavelet image denoising. Subsequently, the images are transmitted through USB and network interface, and the storage function of image files is implemented. The device can remove the noise contained in videos effectively, which is conducive to performing more advanced processing on the images.

Visual Reinforcement Audiometry Using Digital Video Disc and Conventional Reinforcers

2003 ◽  
Vol 12 (1) ◽  
pp. 35-40 ◽  
Author(s):  
Milton J. Schmida ◽  
Harry J. Peterson ◽  
Anne Marie Tharpe
Keyword(s):  
Digital Video ◽  
New Technology ◽  
Test Procedure ◽  
Three Dimensional ◽  
Video Image ◽  
Head Turn ◽  
Visual Reinforcement ◽  
Digital Video Disc ◽  
Video Images ◽  
Video Disc

Visual reinforcement audiometry (VRA) is a test procedure routinely used to evaluate hearing in infants and young children (6 months to 2 years). Most research and current clinical practice uses flashing lights and/or animated toys to provide reinforcement to a child during VRA. New technology capable of generating a moving video image is now available for providing visual reinforcement to infants during VRA testing. It is reasonable to expect that video images, with presumed greater novelty and complexity, would be more interesting and rewarding to children than conventional, animated mechanical toy reinforcers. On the other hand, in today’s society, children are frequently exposed to video images in the home and elsewhere. Therefore, three-dimensional animated toys may present with greater novelty than video images. The purpose of this study was to compare auditory localization behavior, as defined by the number of head turn responses until habituation, during VRA with 2-year-old children using two types of reinforcers: (a) moving images generated by a digital video disc player/monitor and (b) a conventional, animated mechanical toy. Twenty children were selected randomly from a total group of 40 and tested using conventional reinforcement. The remaining 20 children were tested using video reinforcement. The average number of head turn responses prior to habituation was approximately 15 for the video-reinforced group and approximately 11 for the conventional toy-reinforced group, suggesting that during VRA a video image may be more reinforcing than a conventional animated toy.

The Design of Image Acquisition and Preprocess System Based on FPGA

2011 ◽  
Vol 71-78 ◽  
pp. 4269-4273
Author(s):  
Jie Jia ◽  
Jian Yong Lai ◽  
Gen Hua Zhang ◽  
Huan Ling
Keyword(s):  
Real Time ◽  
Data Streams ◽  
High Speed ◽  
Image Acquisition ◽  
Image Data ◽  
Ccd Camera ◽  
Median Filtering ◽  
Image Preprocessing ◽  
Filtering Algorithm ◽  
Ping Pong

To deal with the large amount of data and complex computing problems during high-speed image acquisition, the image acquisition and preprocess system based on FPGA is designed in the paper. In order to obtain continuous and integrity of image data streams, the design has completed the acquisition of CCD camera video signal and implementation of de-interlacing ping-pong cache. The fast median filtering algorithm is used for image preprocessing, and finally the preprocessed image data is displayed on CRT. Experiments indicate that the design meets requirements of image sample quality and balances the real-time demand.

Application of Machine Vision Based on DM642 of Embedded System

2014 ◽  
Vol 701-702 ◽  
pp. 428-432
Author(s):  
Zhen Yu Liu ◽  
He Wen Xu
Keyword(s):  
Feature Extraction ◽  
Machine Vision ◽  
Embedded System ◽  
Vision System ◽  
Industrial Robot ◽  
Industrial Applications ◽  
Network Interface ◽  
Machine Vision System ◽  
Image Preprocessing ◽  
Robot Controller

This article takes the industrial robot workpiece sorting issue as a background, introduces an embedded machine vision system based on DM642. The system realizes the image preprocessing, feature extraction, image recognition and other work in DSP, and transmits detection results to robot controller through network interface. Experimental results show that the system can effectively solve the problem of sorting regular geometric workpiece, and can meet the requirements of real-time and accuracy in industrial applications.

Adaptive median filtering algorithm based on slope

2013 ◽  
Vol 32 (3) ◽  
pp. 736-738
Author(s):  
Shu-juan LIU ◽  
Ye ZHAO ◽  
Rui DONG ◽  
Zhi-wei WANG ◽  
Fang-fang YANG
Keyword(s):  
Median Filtering ◽  
Filtering Algorithm

Algorithm Optimization of Motion Tracking Based on Optical Flow

2014 ◽  
Vol 926-930 ◽  
pp. 2938-2941
Author(s):  
Dong Ming Liu ◽  
Chao Liu ◽  
Hai Wei Mu
Keyword(s):  
Optical Flow ◽  
Motion Tracking ◽  
Differential Method ◽  
Video Image ◽  
Time Axis ◽  
Algorithm Optimization ◽  
Image Preprocessing ◽  
Smoothing Filter ◽  
Matching Filter ◽  
Non Gaussian

Optical flow is an important kind of video motion tracking algorithm, and Lucas-Kanade (LK) algorithm is an effective differential method in terms of calculating optical flow. The 3D Gaussian smoothing filter is properly introduced in the image preprocessing stage of the LK algorithm, which makes it possible to increase the correlation of the adjacent pixels in the time axis, improve the blur effect of the video image and overcome the 2D Gaussian filters disadvantage that is not suitable for the video image processing. More importantly, the optimized 3D non-Gaussian matching filter is chosen during the 3D derivative calculating, and it is capable of reducing the error rate of the velocity vector calculation and enhancing the calculation accuracy of the optical flow.

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