Infrared image enhancement model based on gravitational force and lateral inhibition networks

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dc.contributor.authorKatırcıoğlu, Ferzan
dc.contributor.authorÇay, Yusuf
dc.contributor.authorCingiz, Zafer
dc.date.accessioned2020-04-30T23:18:31Z
dc.date.available2020-04-30T23:18:31Z
dc.date.issued2019
dc.departmentDÜ, Düzce Meslek Yüksekokulu, Elektronik ve Otomasyon Bölümüen_US
dc.descriptionWOS: 000485855500003en_US
dc.description.abstractProblems such as low contrast, noise, and edge blur are often encountered in color infrared images produced by infrared cameras. To solve these problems, we propose a new image enhancement algorithm based on the gravitational force and lateral inhibition network. First, information on total gravitational force for each dimension of the color infrared image was obtained. These two-dimensional three gray level images obtained using three-dimensional color properties help to define noise, edge and region within each dimension. Secondly, these three gray level images were subjected to a dual threshold value. A mean filter was used to reduce noise, while the lateral inhibition network was used for resolution and edge detection, and the regional gravity factor was used for contrast control. Finally, each dimension was combined again and a color enhanced image was produced. This study sets out to develop a method of enhancement images for infrared image analysis in cooling systems. The images used in the study are made up of a compressor, a condenser, and an evaporator belonging to the cooling system. The implementation of our method is simple and easy to understand and yields more accurate results. The experimental results show that the proposed method can eliminate noise, blur, and low contrast, and can also improve the details of infrared images better than other methods.en_US
dc.identifier.doi10.1016/j.infrared.2019.05.004en_US
dc.identifier.endpage27en_US
dc.identifier.issn1350-4495
dc.identifier.issn1879-0275
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage15en_US
dc.identifier.urihttps://doi.org/10.1016/j.infrared.2019.05.004
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3373
dc.identifier.volume100en_US
dc.identifier.wosWOS:000485855500003en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofInfrared Physics & Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage enhancementen_US
dc.subjectGravitational forceen_US
dc.subjectLateral inhibition networken_US
dc.subjectRefrigeration systemen_US
dc.titleInfrared image enhancement model based on gravitational force and lateral inhibition networksen_US
dc.typeArticleen_US

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