Energy shift experiment in photonic crystal medium

Akhmadeev, A A; Gainutdinov, Renat Kh.; Hermann, G.; Khamadeev, M. A.; Steryakov, O V; Салахов, М. Х.

doi:10.1088/1742-6596/613/1/012005

Cited by 5 publications

(2 citation statements)

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“…where V 1 is the volume of the original particle, V 2 is the volume of the recognized particle, V ∩ is the volume of the intersection. As can be seen from formula (11), the value of the conformity is in the range from 0 to 1 and equal to 1 if the particles are identical. In the case of a large number of particles it is necessary to calculate the total volumes to determine the C. So, the value C is a convenient assessment of the recognition accuracy, because it is one single parameter.…”

Section: Processing the Simulated Imagesmentioning

confidence: 99%

“…The particle size is one of important characteristics, because it affects a large variety of physical, electrical and optical properties of materials [4][5][6][7][8]. Also, the particle size of photonic crystal medium could be important for a new quantumelectrodynamical effect described in [9][10][11]. Thus, for most nanomaterials, fast and accurate determination of particle size is a critical task.…”

Section: Introductionmentioning

confidence: 99%

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A new approach of recognition of ellipsoidal micro- and nanoparticles on AFM images and determination of their sizes

Akhmadeev

Салахов

2016

Meas. Sci. Technol.

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In this work we develop an approach of automatic recognition of ellipsoidal particles on the atomic force microscopy (AFM) image and determination of their size, which is based on image segmentation and the surface approximation by ellipsoids. In addition to the comparative simplicity and rapidity of processing, this method allows us to determine the size of particles, the surface of which is not completely visible on the image. The proposed method showed good results on simulated images including noisy ones. Using this algorithm the size distributions of silica particles on experimental AFM images have been determined.

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Section: Processing the Simulated Imagesmentioning

confidence: 99%