Abstract:Today, with the growth of technology, monitoring processes by the use of video and satellite sensors have been more expanded, due to their rich and valuable information. Recently, some researchers have used sequential images for defect detection because a single image is not sufficient for process monitoring. In this paper, by adding the time dimension to the image-based process monitoring problem, we detect process changes (such as the changes in the size, location, speed, color, etc.). The temporal correlati… Show more
“…Post conversion, the YCbCr image is processed through mean and median filtering. The processes of mean and median filtering are performed to obtain a more solid image and reduce the noise that may be induced during image segmentation [23].…”
“…Post conversion, the YCbCr image is processed through mean and median filtering. The processes of mean and median filtering are performed to obtain a more solid image and reduce the noise that may be induced during image segmentation [23].…”
“…Kabiri and Bayati [6] used control charts as important tools of statistical process control in combination with modern tools such as artificial neural networks. Fattahzadeh and Saghaei [7] monitored their processes using image sensors and control charts. Rasay et al [8] showed the application of multivariate control charts in condition-based maintenance.…”
“…He also used ANOVA technique for correlation measurment purposes. Fattahzade et al [17] presented the new approach of monitoring using sequential images. They used statistical methods and measured correlation between images for defect detection process.…”
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