Abstract
Computer vision (CV) makes computers mimic as human and thus utilizes the concept of human vision. The human vision capabilities are brought in computers and huge number of operations can be performed by the computers. Image processing is an integral part of any CV system that involves acquisition of images and their processing for specific applications. Medical image processing is researched in modern times and brain research is ongoing all across the world. The study of cognitive science (CS) involves huge amount of data especially images and videos; and in various stages of CS implementations, lot of redundant data are also processed. This limits the computational speed of the system and also affects the utilization of data storage. This chapter highlights the difficulties in CS- and CV-based research, especially related to dimensionality problem and data duplicates. The applications of data deduplication methods will be discussed in context with CS and CV research.
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