VLSI Architecture for Edge Detection of Leaf Images
This paper proposed a new VLSI Architecture for Sobel Edge detector for Cotton and Grape leaf images. This new VLSI Architecture is tested for leaf images using Verilog HDL and Simulated and Synthesized using Xilinx Vivado tool and results shown the low power and low area, utilized less than 0.01% of LUTs and 0.13 w of power only. The same architecture is also extended for Prewitt and Laplace Edge detectors and results shown that utility of power and area is less.
Authors
- G. Sukanya
Institutions
- Jawaharlal Nehru Technological University, Hyderabad (IN)
Publication Details
- Journal
- Transactions on Machine Learning and Artificial Intelligence
- Published
- 2025-04-25
- DOI
- https://doi.org/10.14738/tmlai.1302.18612
- Citations
- 1
- Primary Topic
- Leaf Properties and Growth Measurement
- Type
- article
- Field-Weighted Citation Impact
- 1.75
Funders
- All India Council for Technical Education
- Jawaharlal Nehru Technological University Hyderabad