Fabric Defect Detection Using Computer Vision Techniques: A Comprehensive Review
المؤلفون المشاركون
Sajid, Muhammad
Zafar, Bushra
Rasheed, Aqsa
Dar, Saadat Hanif
Rasheed, Amina
Ali, Nouman
Habib, Usman
Shehryar, Tehmina
Mahmood, Muhammad Tariq
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-24، 24ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-16
دولة النشر
مصر
عدد الصفحات
24
التخصصات الرئيسية
الملخص EN
There are different applications of computer vision and digital image processing in various applied domains and automated production process.
In textile industry, fabric defect detection is considered as a challenging task as the quality and the price of any textile product are dependent on the efficiency and effectiveness of the automatic defect detection.
Previously, manual human efforts are applied in textile industry to detect the defects in the fabric production process.
Lack of concentration, human fatigue, and time consumption are the main drawbacks associated with the manual fabric defect detection process.
Applications based on computer vision and digital image processing can address the abovementioned limitations and drawbacks.
Since the last two decades, various computer vision-based applications are proposed in various research articles to address these limitations.
In this review article, we aim to present a detailed study about various computer vision-based approaches with application in textile industry to detect fabric defects.
The proposed study presents a detailed overview of histogram-based approaches, color-based approaches, image segmentation-based approaches, frequency domain operations, texture-based defect detection, sparse feature-based operation, image morphology operations, and recent trends of deep learning.
The performance evaluation criteria for automatic fabric defect detection is also presented and discussed.
The drawbacks and limitations associated with the existing published research are discussed in detail, and possible future research directions are also mentioned.
This research study provides comprehensive details about computer vision and digital image processing applications to detect different types of fabric defects.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rasheed, Aqsa& Zafar, Bushra& Rasheed, Amina& Ali, Nouman& Sajid, Muhammad& Dar, Saadat Hanif…[et al.]. 2020. Fabric Defect Detection Using Computer Vision Techniques: A Comprehensive Review. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1200942
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rasheed, Aqsa…[et al.]. Fabric Defect Detection Using Computer Vision Techniques: A Comprehensive Review. Mathematical Problems in Engineering No. 2020 (2020), pp.1-24.
https://search.emarefa.net/detail/BIM-1200942
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rasheed, Aqsa& Zafar, Bushra& Rasheed, Amina& Ali, Nouman& Sajid, Muhammad& Dar, Saadat Hanif…[et al.]. Fabric Defect Detection Using Computer Vision Techniques: A Comprehensive Review. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1200942
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1200942
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر