Wavelet Transform Based Recognition of Machined Surfaces Using Computer Vision

Keerthi C. Ravi; P. Pai Srinivasa; J.S. Vishwanatha

doi:10.4028/www.scientific.net/AMM.592-594.801

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 592-594Wavelet Transform Based Recognition of Machined...

Wavelet Transform Based Recognition of Machined Surfaces Using Computer Vision

Abstract:

This paper presents wavelet based recognition of the machined surfaces namely turned, ground and shaped surfaces from the images acquired using Computer Vision System. Selection of mother wavelet has been done based on the peak signal to noise ratio (PSNR) value using Discrete wavelet transform (DWT) which has been used for feature extraction. Artificial neural network has been used to recognize the machined surfaces.

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Periodical:

Applied Mechanics and Materials (Volumes 592-594)

Pages:

801-805

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.592-594.801

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Cite this paper

Online since:

July 2014

Authors:

Keerthi C. Ravi, P. Pai Srinivasa, J.S. Vishwanatha*

Keywords:

Artificial Neural Network (ANN), Computer Vision System, Feature Extraction, Surface Roughness (SR), Wavelet Transform (WT)

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* - Corresponding Author

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