Volume 14, Issue 2 (9-2017)                   JSDP 2017, 14(2): 115-130 | Back to browse issues page



DOI: 10.18869/acadpub.jsdp.14.2.115

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A New Method for Classification of Nano-Structures based on Time Series Analysis and Fuzzy Logic. JSDP. 2017; 14 (2) :115-130
URL: http://jsdp.rcisp.ac.ir/article-1-409-en.html

Abstract:   (239 Views)

The degree of particles dispersion in the nanostructures is of the most important indicators used to verify the performance of the proposed methods in the synthesis of nanomaterials. Scanning electron microscopy (SEM) images of nanoparticles have structural, chemical and morphological information in nano-meters with high resolution. In this paper, classification of nanostructures using time series analysis and statistical features is presented. To reach this, SEM images were converted to the time series, and their statistical features were extracted from them. These features were fed to a fuzzy inference system as its inputs to classify the images of nanostructures as good, average and bad structures. The obtained results for 65 SEM images of nanoparticles with the same dimensions (250 × 250 pixels) showed more than 90% accuracy.

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Type of Study: Research | Subject: Paper
Received: 2015/08/25 | Accepted: 2017/03/5 | Published: 2017/10/21 | ePublished: 2017/10/21

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