Sobel Algorithm for Processing Medical Images on FPGA

Чумак, В. С.; Deryuga, I.

Публікація:
Sobel Algorithm for Processing Medical Images on FPGA

dc.contributor.author	Чумак, В. С.
dc.contributor.author	Deryuga, I.
dc.date.accessioned	2023-12-19T21:18:50Z
dc.date.available	2023-12-19T21:18:50Z
dc.date.issued	2023
dc.description.abstract	FPGAs are gaining interest in microchip manufacturing due to their high computational power and parallelization capabilities. This makes them suitable for compact, integrated devices handling diverse computational tasks, particularly in the medical field. The Sobel operator is a simple method for determining image contours. It utilizes 2D convolution with kernel matrices to approximate brightness derivatives along horizontal and vertical axes. FPGA implementation allows for easy parallelization. However, as a standalone algorithm, it is not ideal for medical image processing due to limited accuracy and noise sensitivity. Instead, it can be used as an additional filter to enhance edges in conjunction with other algorithms, improving diagnostic detail. FPGA implementation enables rapid edge detection, making it suitable for integration into medical image recognition systems.
dc.identifier.citation	Chumak V. Sobel Algorithm for Processing Medical Images on FPGA / V. Chumak, I. Deryuga // V International Scientific and Practical Conference Theoretical and Applied Aspects of Device Development on Microcontrollers and FPGAs (MC&FPGA-2023), Kharkiv, Ukraine, 2023. - pp. 40-41.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/25114
dc.language.iso	en
dc.publisher	MC&FPGA
dc.subject	image processing
dc.subject	medical images
dc.subject	optimization
dc.subject	sobel operator
dc.subject	parallelization
dc.title	Sobel Algorithm for Processing Medical Images on FPGA
dc.type	Thesis
dspace.entity.type	Publication