Study on the method of automatic measurement of flexible material processing path based on computer vision and wavelet

Deng, Yaohua; Chen, Jiayuan; Liu, Xiali; Chen, Sicheng; Zhang, Qiaofen; Wu, Liming

doi:10.1016/j.ijleo.2014.01.182

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…4Schematic wavelet decomposition and reconstruction process of If gesture images are defined as ( , y), then d 1 ( , y) reflects low-frequency components in both the horizontal direction ( ) and the vertical direction (y) after conducting the two-dimensional wavelet transform for processingimage, d 2 ( , y) reflects the low-frequency components in direction and high-frequency components in direction y, d 3 ( , y) reflects the high-frequency components in directio and the low-frequency components in direction y, d 4 ( , y) reflects high-frequency in both directions , y [5]. L represents the low-pass filter having the impulse response, while H represents the high-pass filter having the impulse response.…”

Section: Overall Programmentioning

confidence: 99%

Design and Implementation of IP Core of Interactive Projection Gesture Image

Deng¹,

Zheng²,

Wu³

et al. 2015

Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

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Abstract. In order to improve the speed of gestures image processing in interactive projection, the paper uses field programmable logic devices to design image processing system on-chip, studies the realization method of image wavelet transform IP core, designs gesture image of Haar wavelet decomposition and reconstruction IP core based on Xilinx FPGA. The experiments show that the effect of gesture image processing using the IP core is consistent with the results of PC processing, the processing time is improved by 4.6313% compared with PC, good foundation is builded for subsequent experiments of interactive gesture recognition and matching.

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Section: Overall Programmentioning

confidence: 99%

Design and Implementation of IP Core of Interactive Projection Gesture Image

Deng¹,

Zheng²,

Wu³

et al. 2015

Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

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“…Flexible material path processing refers to the various complex graphics processing on flexible materials and emerging unsmooth stereo pattern on the surface [1,2]. Tangent following refers to constantly adjust the blade position to make the blade and the cutting contour curve remain tangent during flexible material curve cutting operation.…”

Section: Introductionmentioning

confidence: 99%

Study of Self-organizing Fuzzy Neural Network Control for Flexible Material Path Processing Tangent Following Error Compensation

Deng¹,

Liu²,

Wu³

et al. 2015

Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering

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Abstract. The control rules of fuzzy neural network controller for flexible material path processing tangent following are acquired depending on prior knowledge of designers and experts in previous studies, this leads to the difficulty and error of the preliminary calculation. The paper studies and designs self-organizing fuzzy neural network, completes offline training through fuzzy reasoning, realizes the simulation of process knowledge and experience, and the control quantity is given according to the controlled process，consequently the deformation compensation scheme is obtained. The simulation shows that the self-organizing fuzzy neural network controller has better effect on tangent following error compensate for the flexible material path processing .

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