Image Shape Clasification Using Computational Intelligence and Object Orientation

Machowski, Lukasz Antoni

Image Shape Clasification Using Computational Intelligence and Object Orientation

dc.contributor.author	Machowski, Lukasz Antoni
dc.date.accessioned	2006-03-13T10:04:41Z
dc.date.available	2006-03-13T10:04:41Z
dc.date.issued	2006-03-13
dc.description	Master of Science in Engineering - Electrical and Information Engineering	en
dc.description.abstract	With the increase in complexity of modern software systems, there is a great demand for software engineering techniques. Calculation processes are becoming more and more complex, especially in the field of machine vision and computational intelligence. A suitable object oriented calculation process framework is developed in order to address this problem. To demonstrate the effectiveness of the framework, a simple shape classification system is implemented in C#. A suitable method for representing shapes of images is developed and it is used for classification by a neural network. Sets of real-world images of hands and automobiles are used to test the system. The performance of the object oriented system in C# is compared to a functional paradigm system in Matlab and it is found that object orientation is well suited to the later stages of machine vision while the functional approach is well suited to low level image processing tasks.	en
dc.format.extent	3674346 bytes
dc.format.extent	350064 bytes
dc.format.extent	401793 bytes
dc.format.extent	710664 bytes
dc.format.extent	848590 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/pdf
dc.format.mimetype	application/pdf
dc.format.mimetype	application/pdf
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/10539/244
dc.language.iso	en
dc.subject	image	en
dc.subject	shape	en
dc.subject	intelligence	en
dc.subject	object	en
dc.subject	computational	en
dc.title	Image Shape Clasification Using Computational Intelligence and Object Orientation	en
dc.type	Thesis	en