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Special Issue of Image & Vision Computing ProjectionBased Transforms

Summary: Special Issue of Image & Vision Computing
Projection­Based Transforms
Guest Editors:
E.R. Davies M. Atiquzzaman
University of London Monash University, Australia
Papers are solicited for a Special Issue of Image and Vision Computing which address the subject
of Projection­Based Transforms. A large amount of work has been carried out on the detection
and recognition of objects in images using projection­based transforms such as Radon and Hough
transforms. Special algorithms, techniques, and implementations have been developed to reduce
the execution times of such algorithms and to increase the accuracy of the detection and recognition
process. The field has become a mature subject and is of high relevance to practical implementations
in areas such as medical imaging, surveillance, agriculture and factory automation.
Papers describing novel contributions which describe the subject of Projection­Based Transforms
are invited for the Special Issue. Both theoretical and experimental contributions from academia
and industry are welcome. The goal of the Special Issue is to gather significant research results
that explore such algorithms and techniques. It is intended to interpret the subject rather widely,
to avoid excluding important cognate topics such as geometric invariance and sampling strategies.
The Special Issue will also identify the future directions of research in this field. Possible topics
include (but are not limited to):
ffl Efficient projection­based transforms


Source: Atiquzzaman, Mohammed - School of Computer Science, University of Oklahoma


Collections: Computer Technologies and Information Sciences