tailieunhanh - Báo cáo toán học: " Automated optical inspection system for digital TV sets"

Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học được đăng trên tạp chí toán học quốc tế đề tài: Automated optical inspection system for digital TV sets | Kastelan et al. EURASIP Journal on Advances in Signal Processing 2011 2011 140 http content 2011 1 140 o EURASIP Journal on Advances in Signal Processing a SpringerOpen Journal RESEARCH Open Access Automated optical inspection system for digital TV sets Ivan Kastelan1 Mihajlo Katona1 Dusica Marijan2 and Jan Zloh2 Abstract This article proposes a real-time test and verification system for full-reference automatic image quality assessment and verification of digital TV sets. Digital camera is used for acquisition of the TV screen content in order to ensure quality assessment of the content as perceived by the user. Test has been executed in three steps image acquisition by camera TV screen content extraction and full-reference image quality assessment. The TV screen content is extracted from the captured image in two steps detection of the TV screen edge and transformation of the TV screen content to dimensions of the reference image. Three image comparison methods are incorporated to perform full-reference image quality assessment. Reference image for quality assessment is obtained either by grabbing the image from TV set or by capturing the TV screen content on the golden sample. Digital camera was later replaced with DSP-based camera for image acquisition and algorithm execution which brought significant performance improvements. The comparison methods were tested under constant and variable illumination conditions. The proposed system is used to automate the verification step on the final production line of digital TV sets. The time required for verification step decreased by a factor of 5 when using the proposed system on the final production line instead of a manual one. Keywords sub-image extraction image comparison functional failure detection digital TV testing TV screen capturing 1 Introduction In the recent years it has been shown that manual verification of digital TV systems is not effective for large industries 1 . The overall .

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