Detection of peaks nanoscale images in noises

A new noise-immune algorithm for estimating the position and intensity of the peaks of nanoobjects is pro-posed. The method is based on image processing by columns and rows using the algorithm of three-point ex-tremes search in a sliding data window. The method allows to estimate the position and intensity of peaks with a signal-to-noise ratio up to three with probability of detection up to unity, zero probability of peak miss and false alarm.

Keywords

nanoscale images, image processing, detection of peaks

Received

09.10.2018

Publication date

10.10.2018

Number of characters

467

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GOST	Novikov L. Detection of peaks nanoscale images in noises // Nauchnoe priborostroenie – 2018. – V. 28. – Issue 3 C. 124-129 [Electronic resource]. URL: http://ras.jes.su/np/s207987840000393-1-1-en (circulation date: 19.04.2024). DOI: 10.31857/S086858860001105-7
MLA	Novikov, Lev "Detection of peaks nanoscale images in noises." Nauchnoe priborostroenie 28.3 (2018):124-129. DOI: 10.31857/S086858860001105-7
APA	Novikov L. (2018). Detection of peaks nanoscale images in noises. Nauchnoe priborostroenie 28(3), pp.124-129 DOI: 10.31857/S086858860001105-7

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