Date of Award
Summer 8-2014
Degree Type
Dissertation
Degree Name
Ph.D.
Degree Program
Engineering and Applied Science
Department
Electrical Engineering
Major Professor
Dimitrios Charalampidis
Second Advisor
Vesselin Jilkov
Third Advisor
Huimin Chen
Fourth Advisor
George Ioup
Fifth Advisor
Juliette Ioup
Abstract
Convolution and multiplication operations in the filtering process can be optimized by minimizing the resource utilization using Field Programmable Gate Arrays (FPGA) and separable filter kernels. An FPGA architecture for separable convolution is proposed to achieve reduction of on-chip resource utilization and external memory bandwidth for a given processing rate of the convolution unit.
Multiplication in integer number system can be optimized in terms of resources, operation time and power consumption by converting to logarithmic domain. To achieve this, a method altering the filter weights is proposed and implemented for error reduction. The results obtained depict significant error reduction when compared to existing methods, thereby optimizing the multiplication in terms of the above mentioned metrics.
Underwater video and still images are used by many programs within National Oceanic Atmospheric and Administration (NOAA) fisheries with the objective of identifying, classifying and quantifying living marine resources. They use underwater cameras to get video recording data for manual analysis. This process of manual analysis is labour intensive, time consuming and error prone. An efficient solution for this problem is proposed which uses Gabor filters for feature extraction. The proposed method is implemented to identify two species of fish namely Epinephelus morio and Ocyurus chrysurus. The results show higher rate of detection with minimal rate of false alarms.
Recommended Citation
Joginipelly, Arjun Kumar, "Efficient FPGA Architectures for Separable Filters and Logarithmic Multipliers and Automation of Fish Feature Extraction Using Gabor Filters" (2014). University of New Orleans Theses and Dissertations. 1876.
https://scholarworks.uno.edu/td/1876
Included in
Digital Circuits Commons, Electrical and Electronics Commons, VLSI and Circuits, Embedded and Hardware Systems Commons
Rights
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