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Ph.D. Research: Machine Vision Systems (MVS) and Object Recognition
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My research has addressed
generic machine vision driven by Gabor filters for the identification
of textural objects. The system is designed to provide an efficient
means of transforming several hundreds of images by using a number
of new techniques that improves the computational time required.
The work also addresses
incremental learning to allow the addition of new information
without any adverse effects on the existing knowledge. This technique
avoids the need to re-train existing information during new additions
or modifications to texture classes.