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In video surveillance, detection of moving objects from an image sequence is very important for target tracking, activity recognition, and behavior understanding. Background subtraction is a very popular approach for foreground segmentation in a still scene image. In order to compensate for illumination changes, a background model updating process is(More)
Normalized cross correlation has been used extensively for many machine vision applications, but the traditional normalized correlation operation does not meet speed requirements for time-critical applications. In this paper, we propose a fast normalized cross correlation computation for defect detection application. A sum-table scheme is utilized, which(More)
The OtsuÕs method has been proven as an efficient method in image segmentation for bi-level thresholding. However, this method is computationally intensive when extended to multi-level thresholding. In this paper, we present a hybrid optimization scheme for multiple thresholding by the criteria of (1) OtsuÕs minimum within-group variance and (2) Gaussian(More)
Thin Film Transistor Liquid Crystal Displays (TFT-LCDs) have become increasingly attractive and popular as display devices. In this paper, we propose a machine vision approach for automatic inspection of micro defects in patterned TFT-LCD surfaces. The proposed method is based on a global image reconstruction scheme using singular value decomposition (SVD).(More)
In this paper we present a global approach for the automatic inspection of defects in randomly textured surfaces which arise in sandpaper, castings, leather, and many industrial materials. The proposed method does not rely on local features of textures. It is based on a global image reconstruction scheme using the Fourier transform. Since a statistical(More)