Nazlıbilek, Sedat

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https://hdl.handle.net/20.500.14411/8361
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S.,Nazlibilek
N., Sedat
Nazlıbilek,S.
Sedat, Nazlıbilek
N.,Sedat
Nazlibilek,S.
S., Nazlibilek
S.,Nazlıbilek
Sedat, Nazlibilek
Nazlıbilek, Sedat
Nazlibilek, Sedat
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Doçent Doktor
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Department of Mechatronics Engineering
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Former Staff
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1
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CLEAN WATER AND SANITATION6
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AFFORDABLE AND CLEAN ENERGY7
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This researcher does not have a Scopus ID.
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Scholarly Output

22

Articles

14

Views / Downloads

5/0

Supervised MSc Theses

3

Supervised PhD Theses

3

WoS Citation Count

245

Scopus Citation Count

302

Patents

0

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0

WoS Citations per Publication

11.14

Scopus Citations per Publication

13.73

Open Access Source

1

Supervised Theses

6

JournalCount
Measurement7
Indian Journal of Pure and Applied Physics2
IEEE Transactions on Instrumentation and Measurement2
20th Annual International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2013 -- 20th Annual International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2013 -- 20 September 2013 through 20 September 2013 -- Ankara -- 1022761
International Conference of Control, Dynamic Systems, and Robotics -- 4th International Conference of Control, Dynamic Systems, and Robotics, CDSR 2017 -- 21 August 2017 through 23 August 2017 -- Toronto -- 1399181
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Author: Kakilli, AdnanSubject: Image matching

Scholarly Output Search Results

Now showing 1 - 1 of 1
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    Article
    Citation - WoS: 11
    Citation - Scopus: 12
    A Magnetic Measurement System and Identification Method for Buried Magnetic Materials Within Wet and Dry Soils
    (Ieee-inst Electrical Electronics Engineers inc, 2016) Ege, Yavuz; Nazlibilek, Sedat; Kakilli, Adnan; Citak, Hakan; Kalender, Osman; Erturk, Korhan Levent; Karacor, Deniz
    In this paper, a new magnetic measurement system is developed to determine upper surfaces of buried magnetic materials, particularly land mines. This measurement system uses the magnetic-anomaly-detection method. It also has intelligent identification software based on an image matching algorithm. It is aimed to determine and identify the buried ferromagnetic materials with minimum energy consumption. It is concentrated on the detection and identification of the shapes of upper surfaces of buried magnetic materials in dry and wet conditions. The effect of humidity in the detection process for detection is tested. In this paper, we used sensor images to identify various ferromagnetic materials and similar objects. Sensor images of soils at various humidities covering the objects were obtained. We used the speeded-up-feature-transform algorithm in the comparison process of the images. Dry soil sample images match with the corresponding wet soil samples with the highest matching rate. The images for different objects can easily be distinguished by the matching process.