Tile quality detection system based on an object imaging method
| Autor: | Luo Qi, Jun Li, Guoan Ou, Bangwen Jia, Xiaofang Dai |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject Process (computing) 020207 software engineering Image processing 02 engineering and technology Object (computer science) Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials visual_art 0202 electrical engineering electronic engineering information engineering visual_art.visual_art_medium 020201 artificial intelligence & image processing Quality (business) Computer vision Tile Artificial intelligence Electrical and Electronic Engineering Graphics business Digital signal processing media_common |
| Zdroj: | Optik. 140:1091-1098 |
| ISSN: | 0030-4026 |
| DOI: | 10.1016/j.ijleo.2017.05.041 |
| Popis: | Due to the disadvantages of traditional imaging methods, an imaging method based on object imaging has been proposed in this paper. This imaging method only images objects that are of interest and filters other objects. This paper mainly applies this imaging method to detect the quality of tiles by detection of special shapes. If the printing graphics of the tiles meet our requirements, a quality detection system will display the graphics needing quality detection on a monitor. Otherwise, no graphics are displayed on the monitor if the printing graphics do not meet requirements. The system includes: the use of communication between ARM and DSP under the DM6446 platform, the call to a multiple-algorithm, and design of a specific graphic imaging algorithm. The system removes the artificial testing steps in the process of quality detection, improves the speed and accuracy of quality detection and reduces the labor intensity required from inspectors. The preliminary studies show the feasibility and practicability of this system, and the preliminary experimental results show that an imaging method based on object imaging can be applied to quality detection of tiles and can solve existing problems for quality detection. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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