Title :
Applied study of VFD recognition based on computer vision
Author :
Hou, Bei-ping ; Zhu, Wen
Author_Institution :
Sch. of Autom. & Electr., Zhejiang Univ. of Sci. & Technol., Hangzhou
Abstract :
VFD (vacuum fluorescent display) is commonly used in stereos, carradio and in other electronic equipment. Then exactly recognizing the characteristics of VFD is significant. A novelty computer vision system based on artificial neural network for VFD inspection is presented in this paper. The system includes hardware and software; camera and image acquisition board can acquire the on-line image of VFD. The real-time image can be pre-processed; the image features can be extracted by certain image-processing algorithm. BP (back propagation) neural network is used to recognize the characteristics on VFD board, the neural network can be trained by sample and teacher signals off-line, and then it can recognize character on VFD image. Simulation results show the validity and effectiveness.
Keywords :
backpropagation; computer vision; display devices; feature extraction; image recognition; neural nets; real-time systems; VFD inspection; VFD recognition; artificial neural network; backpropagation neural network; computer vision; feature extraction; real-time image processing; vacuum fluorescent display; Artificial neural networks; Character recognition; Computer displays; Computer vision; Electronic equipment; Fluorescence; Hardware; Image recognition; Inspection; Stereo vision; Computer Vision; Neural Network; VFD;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620883
