Object detection in images using morphlet descriptions

Vizilter, Yu. V.; Gorbatsevich, V. S.; Vishnyakov, B. V.; Sidyakin, S. V.

doi:10.18287/2412-6179-2017-41-3-406-411

Cited by 12 publications

(4 citation statements)

References 5 publications

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“…While the porosity of a thin film of SiNWs can be calculated from its optical density [6], it gives only the average porosity and it can be only applied for films with low light scattering. Different methods can be used for image processing [26][27][28]. In our work the porosity of the top of SiNW layer was estimated from an analysis of the corresponding top view SEM images.…”

Section: Porosity Evaluationmentioning

confidence: 99%

Nonlinear analysis of the degree of order and chaos of morphology of porous silicon nanostructures

Zhanabaev

Grevtseva

Gonchar

et al. 2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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This work has been done to identify quantitative criteria the degree of order and chaos morphology of porous layers consisting of silicon nanowire arrays. In order to fulfill the work, a method of using metal-assisted chemical etching has been utilized to produce nanowires. There has been done a work of digital processing of porous film images which were extracted by scanning electron microscope. Informational-entropic and Fourier analysis have been applied to quantitatively describe the degree of order and chaos in nanostructure distribution in the layers. Self-similarity of the layer morphology has been quantitatively described via its fractal dimensions by correlation method. The applied approach for image processing allows us to distinguish the morphological features of as-called "black" (more ordered) and "white" (less ordered) silicon layers, which are characterized by minimal and maximal optical reflection, respectively. From all of the methods of digital techniques that we have used the method for determining the conditional information of a chaotic set was proved to be the most informative.

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Section: Porosity Evaluationmentioning

confidence: 99%

Nonlinear analysis of the degree of order and chaos of morphology of porous silicon nanostructures

Zhanabaev

Grevtseva

Gonchar

et al. 2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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“…There are many commonly used algorithms for image binarization [1] employed for various applications: digital documents compression [2], intelligent document recognition [3], medical image analysis [4], object detection [5,6], digital image enhancement [7], porosity determination via computed tomography [8], forensic ballistics [9]. The diversification of methods is associated with the fact that the algorithm allowing for the equally high accuracy in all image processing tasks has not been developed yet.…”

Section: Introductionmentioning

confidence: 99%

A generalization of Otsu method for linear separation of two unbalanced classes in document image binarization

et al. 2021

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The classical Otsu method is a common tool in document image binarization. Often, two classes, text and background, are imbalanced, which means that the assumption of the classical Otsu method is not met. In this work, we considered the imbalanced pixel classes of background and text: weights of two classes are different, but variances are the same. We experimentally demonstrated that the employment of a criterion that takes into account the imbalance of the classes' weights, allows attaining higher binarization accuracy. We described the generalization of the criteria for a two-parametric model, for which an algorithm for the optimal linear separation search via fast linear clustering was proposed. We also demonstrated that the two-parametric model with the proposed separation allows increasing the image binarization accuracy for the documents with a complex background or spots.

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“…Global symptoms determination approach based on fuzzy logic designed to fix this problem. Such an approach in conjunction with image processing algorithms that allows to search objects on images [8,9] or correct images [10] obtained for example from unmanned aerial vehicles could be the basis of a system for automatically determining the forest plantations health state.…”

Section: Introductionmentioning

confidence: 99%

Tree state category identification for boreal area conifers using global features estimation by fuzzy logic approach

Pyataev¹,

Redkin²,

Pyataeva

2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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Tree state category identification allows forecasting forest development in the surveyed area. Tree state category determination process based on global features is subjective and uses concepts such as the degree of density of the crown, the degree of drying of branches, the fall of the bark, the color of the needles, etc. For global features estimation, fuzzy logic is used. To formalize these subjective concepts, linguistic variables and their terms were extracted. The characteristic functions describing the terms were piecewise linear and in this work were approximated by Gaussian functions. Such an approach in conjunction with image processing algorithms that allows to search objects on images or correct images obtained for example from unmanned aerial vehicles could be the basis of a system for automatically determining the forest plantations health state and improve the inspection quality. The study was conducted for coniferous species of the boreal zone. The mathematical model built in this work allows reducing the cost of automation of calculations related to the processing of the data obtained by forest pathological surveys, despite the fact that the accuracy value of fuzzy classification after the approximation of the membership functions remained at the same level.

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Object detection in images using morphlet descriptions

Cited by 12 publications

References 5 publications

Nonlinear analysis of the degree of order and chaos of morphology of porous silicon nanostructures

Nonlinear analysis of the degree of order and chaos of morphology of porous silicon nanostructures

A generalization of Otsu method for linear separation of two unbalanced classes in document image binarization

Tree state category identification for boreal area conifers using global features estimation by fuzzy logic approach

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