Master of Science in Electrical Engineering (MSEE)
Electrical and Computer Engineering
First Committee Member
Second Committee Member
Third Committee Member
Fourth Committee Member
Number of Pages
Circle Hough Transform (CHT) has found applications in biometrics, robotics, and imageanalysis. In this work, the focus is the development of a Field Programmable Gate Array (FPGA) based accelerator that performs a series of procedures and results in circle detection. The design is performed using Vivado High-Level Synthesis (HLS) tools and targeted for a Zynq UltraScale+ ZCU106. The implementation includes the following procedures: Gaussian filter, Sobel edge operator, thresholding, and finally the CHT algorithm. The performance is evaluated based on the execution time as compared to the software (Python code) execution and the analysis tools provided by Vivado HLS tool. The accuracy of detection is evaluated due to the approximation done for the sake of faster execution. The CHT requires a large amount of memory for its implementation, and thus the overall resource utilization is to be optimized. In this work we evaluate both the speed (time) and the number of logical blocks and memory components required for implementation. The core of the work is the efficient implementation of the Circle Hough Transform using High-Level Synthesis.
Circle detection; Circle hough transform; Field programmable gate array; High-level synthesis
Computer Engineering | Electrical and Computer Engineering
University of Nevada, Las Vegas
Lemus, Carlos, "A Circle Hough Transform Implementation Using High-Level Synthesis" (2020). UNLV Theses, Dissertations, Professional Papers, and Capstones. 4061.
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/