Real Time Detection of Object Blob Localization Application using 1-D Connected Pixel and Windowing Method on FPGA

Abstract Blob detection and localization is a common process used in the machine vision. Current existing blob detection method is using 2-dimensional kernel matrix which is higher in time consumption and also memory space. This study has proposed a dedicated digital architecture consist of two modu...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1755; no. 1; p. 12054
Main Authors Lam, CheeYuen, Ehkan, Phaklen, Raof, Rafikha Aliana A., Jungjit, Suwimol
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.02.2021
Subjects
Computer vision
Digital imaging
Image analysis
Localization
Machine vision
Modules
Physics
Pixels
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Summary:Abstract Blob detection and localization is a common process used in the machine vision. Current existing blob detection method is using 2-dimensional kernel matrix which is higher in time consumption and also memory space. This study has proposed a dedicated digital architecture consist of two modules to detect binary image blob using only 1 -dimensional image pixel. First module is used to detect connected pixel in a row of pixel, and second module is used to perform windowing to justify blob location. This study has been successfully implemented and tested on Altera DE2 FPGA board. The proposed architecture only takes 24 clock cycles to deliver blob location and related features. The tested architecture only utilizes 1597 logic element, or 4.81% of the FPGA total resources.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1755/1/012054