Design and Implementation of Efficient Edge Detection Algorithm for Image Processing Applications
Meghana B Ganesh
, Keshava. A
VLSI, edge detection, image processing
Image processing is essential for medical, remote sensing, microscopic imaging, etc applications. One of the main strategies for object detection is the edge detection algorithm. Digital image processing techniques such as segmentation and extraction are used to perform this edge detection. Real-time embedded system research for digital image processing is flourishing. Edge detection is essential for real-time picture processing and is extremely helpful for verifying design recognition, texture extraction, and full picture segmentation. The limitations of processor speed mostly effect how image algorithms are implemented in software coding, hence advances in VLSI Technology are employed to control this behaviour. In the current project, the sobel edge detection technique for Field Programmable Gate Array devices is implemented using the Hardware Description Language (HDL). The study demonstrates that using the hardware Sobel edge operator produces a substantially faster speed than using simulation software. The suggested approach primarily makes use of an Improved hardware architecture, and the images/pictures are sent from a PC to an FPGA computer via serial UART communication. As follows, the primary objective of this project is to enhance the speed and to efficiently scale down the hardware resources.
"Design and Implementation of Efficient Edge Detection Algorithm for Image Processing Applications", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 9, page no.1150 - 1156, September-2022, Available :https://ijsdr.org/papers/IJSDR2209185.pdf
Volume 7
Issue 9,
September-2022
Pages : 1150 - 1156
Paper Reg. ID: IJSDR_201935
Published Paper Id: IJSDR2209185
Downloads: 000347223
Research Area: Engineering
Country: Bengaluru, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
