Colour and texture image analysis in a Local Binary Pattern framework

Nixon, Seth (2019) Colour and texture image analysis in a Local Binary Pattern framework. Doctoral thesis, University of East Anglia.

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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.

Item Type:	Thesis (Doctoral)
Faculty \ School:	Faculty of Science > School of Computing Sciences
Depositing User:	Users 9280 not found.
Date Deposited:	28 Nov 2019 11:47
Last Modified:	28 Nov 2019 11:47
URI:	https://ueaeprints.uea.ac.uk/id/eprint/73209
DOI:

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