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.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:390985 |
| Date | January 1995 |
| Creators | Blowers, Andrew |
| Publisher | De Montfort University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://hdl.handle.net/2086/4914 |
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