Davies, Andrew Richard (1993) Image feature analysis using the Multiresolution Fourier Transform. PhD thesis, University of Warwick.

Preview

Text WRAP_THESIS_Davies_1993.pdf - Submitted Version Download (17Mb) | Preview

Abstract

The problem of identifying boundary contours or line structures is widely recognised
as an important component in many applications of image analysis and computer
vision. Typical solutions to the problem employ some form of edge detection
followed by line following or, more commonly in recent years, Hough transforms.
Because of the processing requirements of such methods and to try to improve the
robustness of the algorithms, a number of authors have explored the use of multiresolution
approaches to the problem. Non-parametric, iterative approaches such as
relaxation labelling and "Snakes" have also been used.
This thesis presents a boundary detection algorithm based on a multiresolution
image representation, the Multiresolution Fourier Transform (MFT), which represents
an image over a range of spatial/spatial-frequency resolutions. A quadtree based
image model is described in which each leaf is a region which can be modelled using
one of a set of feature classes. Consideration is given to using linear and circular arc
features for this modelling, and frequency domain models are developed for them.
A general model based decision process is presented and shown to be applicable
to detecting local image features, selecting the most appropriate scale for modelling
each region of the image and linking the local features into the region boundary
structures of the image. The use of a consistent inference process for all of the subtasks
used in the boundary detection represents a significant improvement over the adhoc
assemblies of estimation and detection that have been common in previous work.
Although the process is applied using a restricted set of local features, the framework
presented allows for expansion of the number of boundary feature models and the
possible inclusion of models of region properties. Results are presented demonstrating
the effective application of these procedures to a number of synthetic and natural
images.

Item Type:	Thesis or Dissertation (PhD)
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Library of Congress Subject Headings (LCSH):	Image analysis, Fourier transformations
Official Date:	August 1993
Dates:	Date Event August 1993 Submitted
Institution:	University of Warwick
Theses Department:	Department of Computer Science
Thesis Type:	PhD
Publication Status:	Unpublished
Supervisor(s)/Advisor:	Wilson, Roland, 1949-
Sponsors:	Science and Engineering Research Council (Great Britain) (SERC)
Extent:	viii, 186 p.
Language:	eng
URI:	http://wrap.warwick.ac.uk/id/eprint/50490

Request changes or add full text files to a record

Actions (login required)

View Item

Downloads