Texture analysis for automatic visual inspection and flaw detection in textiles
Bodnarova, Adriana (2000) Texture analysis for automatic visual inspection and flaw detection in textiles. .
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||QUT Thesis (PhD)|
|Additional Information:||Restricted access until 13 Nov. 2002. Photocopying not permitted. All readers must be supervised and register their name and address. Presented to the Space Centre for Satellite Navigation, Queensland University of Technology.|
|Keywords:||Weaving Patterns Mathematical models, Weaving Patterns Measurement, Quality control Optical methods, automated visual inspection, flaw detection techniques, textile quality control, texture analysis, weaving flaws, woven textiles, homogenous textiles, Jaquard textiles, grey level primitives, convolution, correlation, classification, fourier transform, gabor transform, pseudo-Wagner distribution, spatial grey level co-cocurrence, elemental feature matrix, multi-resolution, filter, optimality, Gabor filters, Fisher criterion, real-time, detection rate, robustness, uniformity, versatility, computational complexity, automation, custom-designed software, image processing, image acquisition, image resolution, vertical resolution, horizontal resolution, digital camera, shaft encoder, illumination, fabric conveyer, thesis, doctoral|
|Institution:||Queensland University of Technology|
|Copyright Owner:||Copyright Adriana Bodnarova|
|Deposited On:||22 Sep 2010 23:04|
|Last Modified:||09 Feb 2011 23:55|
Repository Staff Only: item control page