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- Title
FPGA Implementation of Gauss Gradient Edge Detectors for Medical Images.
- Authors
Sivasankari, B.; Ahilan, A.; Kumar, S. N.
- Abstract
Boundary recognition plays a vital role in real-world scenarios like medical imaging and surveillance. The classical edge detector fails to preserve minute details in the image. The abdominal CT images were first analyzed using two edge detection techniques based on gauss gradient are proposed here for real-time data processing. The performance of the edge detectors is validated by performance metrics and verified for benchmark dataset images. The results reveal that the gauss gradient edge detector was efficient for the boundary extraction in benchmark and medical images. The VLSI implementation of the proposed gauss gradient edge detectors was done using the Kintex 7-FPGA board, hardware implementation also generates efficient results with reduced execution time.
- Subjects
EDGE detection (Image processing); IMAGE converters; DIAGNOSTIC imaging; REAL-time computing; COMPUTED tomography; DETECTORS
- Publication
Wireless Personal Communications, 2023, Vol 131, Issue 2, p973
- ISSN
0929-6212
- Publication type
Article
- DOI
10.1007/s11277-023-10464-7