DocumentCode :
3213235
Title :
Image enhancement and surface roughness with feature extraction using DWT
Author :
Badashah, S.J. ; Subbaiah, P.
Author_Institution :
Sathyabama Univ., Chennai, India
fYear :
2011
fDate :
20-22 July 2011
Firstpage :
754
Lastpage :
759
Abstract :
Integrating machine vision in industrial automation involves providing computers typically of human vision. Vision "engines" are increasing in advances in processors like Digital Signal Processors (DSP), speed and decreasing in cost. The vision algorithms for creation of a vision application capable of selected image processing and analysis functions have been developed. They include storing an image into memory, the application of noise filters, segmenting the image and performing connected component analysis. The image processing is a computational intensive task with applications in various engineering fields.
Keywords :
computer vision; cutting; discrete wavelet transforms; feature extraction; image enhancement; image segmentation; production engineering computing; statistical analysis; surface roughness; connected component analysis; cutting conditions; digital signal processors; discrete wavelet transform; feature extraction; image analysis; image enhancement; image processing; image segmentation; industrial automation; machine vision; surface roughness; Edge detector; Grinding; Image enhancement; Milling; Noisy Filter; Surface Roughness;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Sustainable Energy and Intelligent Systems (SEISCON 2011), International Conference on
Conference_Location :
Chennai
Type :
conf
DOI :
10.1049/cp.2011.0464
Filename :
6143413
Link To Document :
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