Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390985
Title: Detection of faults on rotary screen printed fabrics using machine vision
Author: Blowers, Andrew
Awarding Body: De Montfort University
Current Institution: De Montfort University
Date of Award: 1995
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Abstract:
A project was sponsored by the SERC for research into the design of a colour vision system for the detection of print faults in rotary screen printed fabrics. The research was carried out at De Montfort University (formerly named Leicester Polytechnic), which has previous experience with Image Processing in relation to Textiles. The proposed system was required to identify, process and correct the common print faults which can occur during rotary screen printing. These can be divided into two main categories, systematic and random faults. This thesis covers the work undertakeni n the developmento f a laboratory-basedin spection systema ndt he subsequendte velopmenat nd testingo f methodologiesto facilitate factory-based on-line inspection. Initial investigation identified the requirement for colour segmentation algorithmsa ndt he researchin to anda nalysiso f suitablem ethodologiesf or segmentationf orms a fundamental part of this thesis. Important, new colour segmentation algorithms were developed from first principles by the author. These new methods offer improvements (in most cases significant) over the current `state-of-the-art' colour segmentation technology, and are applicable to a wide-range of computer vision tasks. These proposed methodologies have been rigorously tested and the findings of the investigation are presented as part of this thesis.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.390985  DOI: Not available
Keywords: Colour vision; Segmentation; Print faults Pattern recognition systems Pattern perception Image processing Textile fabrics Fibers
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