Automated Visual Defect Classification for Flat Steel Surface: A Survey
نویسندگان
چکیده
منابع مشابه
Automated visual inspection system for wood defect classification using computational intelligence techniques
This article presents improvements in the segmentation module, feature extraction module, and the classification module of a low-cost automated visual inspection (AVI) system for wood defect classification. One of the major drawbacks in the low-cost AVI system was the erroneous segmentation of clear wood regions as defects, which then introduces confusion in the classification module. To reduce...
متن کاملSIROLL SIAS Automated surface inspection for flat products
Simple, reliable and accurate surface quality control
متن کاملAutomated Protein Structure Classification: A Survey
Classification of proteins based on their structure provides a valuable resource for studying protein structure, function and evolutionary relationships. With the rapidly increasing number of known protein structures, manual and semi-automatic classification is becoming ever more difficult and prohibitively slow. Therefore, there is a growing need for automated, accurate and efficient classific...
متن کاملAutomated Fabric Defect Inspection: A Survey of Classifiers
Quality control at each stage of production in textile industry has become a key factor to retaining the existence in the highly competitive global market. Problems of manual fabric defect inspection are lack of accuracy and high time consumption, where early and accurate fabric defect detection is a significant phase of quality control. Computer vision based, i.e. automated fabric defect inspe...
متن کاملA High - Accuracy Algorithm for Surface Defect Detection of Steel Based on DAG - SVM
The quality of the steel surface is a crucial parameter. An improved method based on machine vision for steel surface defects detection is proposed. The experiment is based on 20 images for each of 6 distinct steel defects, a total of 120 defective images achieved from the detection system. 128 different features are extracted from the images and feature dimensions are reduced by the principle ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Instrumentation and Measurement
سال: 2020
ISSN: 0018-9456,1557-9662
DOI: 10.1109/tim.2020.3030167