NDLI: Artificial intelligence for pattern recognition in automated surface engineering

Content Provider	IEEE Xplore Digital Library
Author	Sheybani, E. Garcia-Otero, S. Adnani, F. Javidi, G.
Copyright Year	2012
Description	Author affiliation: DSP Lab, Virginia State University, Petersburg, 23806, USA (Sheybani, E.; Garcia-Otero, S.; Adnani, F.; Javidi, G.)
Abstract	Ability to measure the surface quality in real-time has many applications in manufacturing automation and product optimization, especially in processes in which the surface qualities such as roughness, grain size, thickness of coding, impurities size and distribution, hardness, and other mechanical properties are of importance. Surface analysis in manufacturing environments requires specialized filtering techniques. Due to the immense effect of rough environment and corruptive parameters, it is often impossible to evaluate the quality of a surface that has undergone various grades of processing. The algorithm presented here is capable of performing this comparison analytically and quantitatively at a low computational cost (real-time) and high efficiency. The parameters used for comparison are the degree of blurriness and the amount of various types of noise associated with the surface image. Based on a heuristic analysis of these parameters the algorithm assesses the surface image and quantifies the quality of the image by characterizing important aspects of human visual quality. Extensive effort has been set forth to obtain real-world noise and blur conditions so that the various test cases presented here could justify the validity of this approach well. The tests performed on the database of images produced valid results for the proposed algorithm consistently. This research aims at providing image processing tools for comparison and assessment of a surface processed under different grades of a manufacturing process all the way up to optimal processing. This paper presents the description and validation (along with test results) of the proposed algorithm for surface image quality assessment.
Starting Page	2695
Ending Page	2701
File Size	978215
Page Count	7
File Format	PDF
ISBN	9781467301985
e-ISBN	9781467301992
DOI	10.1109/ICSAI.2012.6223610
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image quality Wavelet transforms Noise Filter banks Signal processing algorithms Surface treatment
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multi-resolution filter banks for enhanced SAR imaging

Design and properties of anti-symmetric biorthogonal wavelet filter banks with the same even length

Equaripple Digital Filter Banks Design

New image transforms using hybrid wavelets and directional filter banks: analysis and design

Genetic algorithm wavelet design for signal classification

Optimized implementation of Discrete Wavelet Transform with area efficiency

Orthogonal symmetric prefilter banks for discrete multiwavelet transforms

Butterfly orthogonal structure for fast transforms, filter banks and wavelets

Filter evaluation and selection in wavelet image compression

Artificial intelligence for pattern recognition in automated surface engineering

Similar Documents

Multi-resolution filter banks for enhanced SAR imaging

Design and properties of anti-symmetric biorthogonal wavelet filter banks with the same even length

Equaripple Digital Filter Banks Design

New image transforms using hybrid wavelets and directional filter banks: analysis and design

Genetic algorithm wavelet design for signal classification

Optimized implementation of Discrete Wavelet Transform with area efficiency

Orthogonal symmetric prefilter banks for discrete multiwavelet transforms

Butterfly orthogonal structure for fast transforms, filter banks and wavelets

Filter evaluation and selection in wavelet image compression

Artificial intelligence for pattern recognition in automated surface engineering