Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.795008
Title: Colour and texture image analysis in a Local Binary Pattern framework
Author: Nixon, Seth
ISNI:       0000 0004 8501 8153
Awarding Body: University of East Anglia
Current Institution: University of East Anglia
Date of Award: 2019
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Abstract:
In this Thesis we use colour and Local Binary Pattern based texture analysis for image classification and reconstruction. In complementary work we offer a new texture description called the Sudoku transform, an extension of the Local Binary Pattern. Our new method when used to classify members of benchmark datasets shows a performance increment over traditional methods including the Local Binary Pattern. Finally we consider the invertibility of texture descriptions and show how with our new method - Quadratic Reconstruction - that a highly accurate image can be recovered purely from its textural information.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.795008  DOI: Not available
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