Contour detection and allocation for cytological images using Wavelet analysis methodology
Електронного архіву Харківського національного університету радіоелектроніки (Open Access Repository of KHNURE)
Переглянути архів Інформація| Поле | Співвідношення | |
| Title |
Contour detection and allocation for cytological images using Wavelet analysis methodology
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| Creator |
Lyashenko, V.
Matarneh, R. Kobylin, O. Putyatin, Y. |
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| Subject |
Wavelet Analysis
Wavelet Spectrograms Microscopic Images Contrast Enhancement Contour Cytological images |
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| Description |
Image analysis is one of most powerful tools in various research fields. In the same context, processing of microscopic images in medicine has high priority research area, this is because such studies allow conducting comprehensive diagnosis of human health state, identifying and preventing the development of diseases in the early stages and providing additional research in non-standard symptomatic forms of rare diseases. To overcome analyzing and processing complexities of microscopic images the feasibility of using wavelet analysis methodology had been considered with a high attention to the effect of wavelet transform scaling which is used to detect contours of objects in the image. The new approach showed that the effectiveness of contour detection is largely depends on wavelet transform scaling to identify gaps in the wavelet decomposition of the investigated images.
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| Date |
2016-09-02T12:05:20Z
2016-09-02T12:05:20Z 2016 |
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| Type |
Article
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| Identifier |
Lyashenko V. Contour detection and allocation for cytological images using Wavelet analysis methodology / V. Lyashenko, R. Matarneh, O. Kobylin, Y. Putyatin // International Journal of Advance Research in Computer Science and Management Studies. – 2016. – Vol. 4, Iss. 1. – P. 85–94.
http://openarchive.nure.ua/handle/document/2024 |
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| Language |
en
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| Publisher |
ijarcsms
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