{"date_created":"2019-11-29T14:22:03Z","status":"public","publication":"13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008)","department":[{"_id":"DEP5023"}],"author":[{"last_name":"Niederhöfer","full_name":"Niederhöfer, Marcus","first_name":"Marcus"},{"id":"1804","orcid":"0000-0002-3325-7887","last_name":"Lohweg","full_name":"Lohweg, Volker","first_name":"Volker"}],"citation":{"havard":"M. Niederhöfer, V. Lohweg, Application-based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces, in: 13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008), Hamburg, Germany, 2008.","apa":"Niederhöfer, M., &#38; Lohweg, V. (2008). Application-based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces. In <i>13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008)</i>. Hamburg, Germany. <a href=\"https://doi.org/10.1109/ETFA.2008.4638397\">https://doi.org/10.1109/ETFA.2008.4638397</a>","din1505-2-1":"<span style=\"font-variant:small-caps;\">Niederhöfer, Marcus</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Application-based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces. In: <i>13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008)</i>. Hamburg, Germany, 2008","chicago":"Niederhöfer, Marcus, and Volker Lohweg. “Application-Based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces.” In <i>13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008)</i>. Hamburg, Germany, 2008. <a href=\"https://doi.org/10.1109/ETFA.2008.4638397\">https://doi.org/10.1109/ETFA.2008.4638397</a>.","chicago-de":"Niederhöfer, Marcus und Volker Lohweg. 2008. Application-based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces. In: <i>13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008)</i>. Hamburg, Germany. doi:<a href=\"https://doi.org/10.1109/ETFA.2008.4638397,\">10.1109/ETFA.2008.4638397,</a> .","ama":"Niederhöfer M, Lohweg V. Application-based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces. In: <i>13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008)</i>. Hamburg, Germany; 2008. doi:<a href=\"https://doi.org/10.1109/ETFA.2008.4638397\">10.1109/ETFA.2008.4638397</a>","bjps":"<b>Niederhöfer M and Lohweg V</b> (2008) Application-Based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces. <i>13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008)</i>. Hamburg, Germany.","ieee":"M. Niederhöfer and V. Lohweg, “Application-based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces,” in <i>13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008)</i>, 2008.","ufg":"<b>Niederhöfer, Marcus/Lohweg, Volker (2008)</b>: Application-based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces, in: <i>13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008)</i>, Hamburg, Germany.","mla":"Niederhöfer, Marcus, and Volker Lohweg. “Application-Based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces.” <i>13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008)</i>, 2008, doi:<a href=\"https://doi.org/10.1109/ETFA.2008.4638397\">10.1109/ETFA.2008.4638397</a>.","short":"M. Niederhöfer, V. Lohweg, in: 13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008), Hamburg, Germany, 2008.","van":"Niederhöfer M, Lohweg V. Application-based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces. In: 13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2008). Hamburg, Germany; 2008."},"title":"Application-based Approach for Automatic Texture Defect Recognition on Synthetic Surfaces","publication_status":"published","abstract":[{"lang":"eng","text":"Synthetic surfaces, in particular polymer structures, which are used for electronic components, have to be inspected in industrial processes. Polymers show some specific surface characteristics. This a-priori knowledge is useable for the feature extraction of a surface texture and a following classification. The feature extraction is performed by using statistical information, calculated from sum and difference histograms, while the classification is executed by a fuzzy pattern classifier. A defect area can be recognized just on the basis of the tested image and without the need of any further reference learning data. The classification of a defect part is achieved by analyzing the divergence of the extracted feature values from their median related to the inspected area. Surfaces that contain an inconsistent texture will be rejected."}],"_id":"2073","place":"Hamburg, Germany","date_updated":"2023-03-15T13:49:38Z","doi":"10.1109/ETFA.2008.4638397","year":2008,"user_id":"45673","language":[{"iso":"eng"}],"type":"conference"}