این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Iron and Steel Society of Iran، جلد ۹، شماره ۱، صفحات ۳۰-۴۰
عنوان فارسی Automatic Detection and Localization of Surface Cracks in Continuously Cast Hot Steel Slabs Using Digital Image Analysis Techniques
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Automatic Detection and Localization of Surface Cracks in Continuously Cast Hot Steel Slabs Using Digital Image Analysis Techniques
چکیده انگلیسی مقاله Quality inspection is an indispensable part of modern industrial manufacturing. Steel as a major industry requires constant surveillance and supervision through its various stages of production. Continuous casting is a critical step in the steel manufacturing process in which molten steel is solidified into a semi-finished product called slab. Once the slab is released from the casting unit, the surface often has longitudinal or transverse cracks. Being exposed to air, the crack surfaces oxidize and do not weld during rolling. The early detection of these defects on the slab saves significant time, effort and production expense, reduces costs, and prevents wasted processing steps and rolling mill faults. Traditionally, the inspection process has been carried out visually through human inspectors. However, human inspection is subjective, error-prone, tedious and time consuming. This paper presents an initial study to validate the feasibility of automated inspection of continuously cast hot slabs using computer vision techniques. An automated inspection system such as the one described in this paper can inspect a slab coming out of a caster while it is still hot. The image processing techniques applied in this work including wavelet transform, morphological operations, edge detection and clustering are time-efficient and simply applicable in industrial applications which demand online computations. The experimental results with 97.0% sensitivity and 96.0% specificity demonstrated that the proposed algorithm was effective and reliable. To the best of our knowledge, this is the first time that such a computerized algorithm has been applied in Iran’s steel industry for quality inspection of continuously cast hot slabs.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله v ملکیان |
department of biomedical engineering, amirkabir university of technology, tehran, 15875-4413, iran
سازمان اصلی تایید شده: دانشگاه صنعتی امیرکبیر (Amirkabir university of technology)

r امیرفتاحی |
digital signal processing research lab., department of electrical and computer engineering, isfahan university of technology, isfahan, 84156-83111, iran
سازمان اصلی تایید شده: دانشگاه صنعتی اصفهان (Isfahan university of technology)

m رضاییان |
digital signal processing research lab., department of electrical and computer engineering, isfahan university of technology, isfahan, 84156-83111, iran
سازمان اصلی تایید شده: دانشگاه صنعتی اصفهان (Isfahan university of technology)

a آقایی |
department of computer engineering, islamic azad university, najafabad branch, iran
سازمان اصلی تایید شده: دانشگاه آزاد اسلامی علوم و تحقیقات (Islamic azad university science and research branch)

p رحیمی |
department of biomedical engineering, islamic azad university, khomeinishahr branch, iran
سازمان اصلی تایید شده: دانشگاه آزاد اسلامی علوم و تحقیقات (Islamic azad university science and research branch)

نشانی اینترنتی http://journal.issiran.com/article_6519_e271fd9bf231ff02c38f6b51f333896f.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده fa
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات