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Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches
المؤلف
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-05
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
Pitting corrosion can lead to critical failures of infrastructure elements.
Therefore, accurate detection of corroded areas is crucial during the phase of structural health monitoring.
This study aims at developing a computer vision and data-driven method for automatic detection of pitting corrosion.
The proposed method is an integration of the history-based adaptive differential evolution with linear population size reduction (LSHADE), image processing techniques, and the support vector machine (SVM).
The implementation of the LSHADE metaheuristic in this research is multifold.
This optimization algorithm is employed in the task of multilevel image thresholding to extract regions of interest from the metal surface.
Image texture analysis methods of statistical measurements of color channels, gray-level co-occurrence matrix, and local binary pattern are used to compute numerical features subsequently employed by the SVM-based pattern recognition phase.
In addition, the LSHADE metaheuristic is also used to optimize the hyperparameters of the machine-learning approach.
Experimental results supported by statistical test points out that the newly developed approach can attain a good predictive result with classification accurate rate = 91.80%, precision = 0.91, recall = 0.94, negative predictive value = 0.93, and F1 score = 0.92.
Thus, the newly developed method can be a promising tool to be used in a periodic structural health survey.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hoang, Nhat-Duc. 2020. Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1197285
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hoang, Nhat-Duc. Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches. Mathematical Problems in Engineering No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1197285
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hoang, Nhat-Duc. Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1197285
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1197285
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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