Image Shape Clasification Using Computational Intelligence and Object Orientation

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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.identifier.uri http://hdl.handle.net/10539/244
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.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


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    Thesis (Ph.D.)--University of the Witwatersrand, 1972.

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