A Brief Review and a New Automatic Method for Interpretation of Polypropylene Modified Bitumen Based on Fuzzy Radon Transform and Watershed Segmentation

Tapkin S., Zakeri H., TOPAL A., Moghadas Nejad F., Khodaii A., ŞENGÖZ B.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, cilt.27, sa.3, ss.773-803, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 3
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1007/s11831-019-09323-1
  • Dergi Adı: ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC, MathSciNet, zbMATH, DIALNET
  • Sayfa Sayıları: ss.773-803
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

This paper reviews development exploitation semi and full automatic strategies for interpretation of Polypropylene Modified Bitumen (PMB) in the last decade. The main purpose of this study is to provide a new automatic method for the interpretation of Polypropylene Modified Bitumen (PMB) properties. An image-based system was developed for interpretation. Several statistical criteria were developed based on Fuzzy segmentation (FCM) and Radon transform for approximation of polypropylene features, which include the High Amplitude Radon Percentage, High Energy Radon Percentage, Standard Deviation, Momentum and a set of Morphological Features (number, position, area, value, etc.). Optical microscopy was used to take the images from membrane of PMB bitumen samples at an intensification measure of 100 x. Theoretical analysis and experimental results are addressed in this paper.