Combined with the design and construction of transmission lighting system, the machine vision detection scheme is proposed for bottle cap gap width inspection of industrial production line. With the consideration of the reflective properties of glass bottle material, the transmission lighting method using white LED array light source is designed.. It could avoid the disturbance on the detection algorithm caused by the nonuniformity of the imaging region. The vision detection algorithm is developed by using automatic bottle cap region search method and edge detection by seed growing. The upper and bottom edge line position is extracted precisely and the real bottle cap gap width is calculated by image pixel physical size calibration. The real experimental imaging system is setup and the experimental results demonstrate that the presented machine vision detection scheme could realize high precision bottle cap sealing gap width detection with detection precision as 0.01mm. The vision algorithm has high accuracy and the processing speed could satisfy the production line task requirements for bottle cap detection.
In this paper, a motion deblurring method with long/short exposure image pairs is presented. The long/short exposure image pairs are captured for the same scene under different exposure time. The image pairs are treated as the input of the deblurring method and more information could be used to obtain a deblurring result with high image quality. Firstly, the luminance equalization process is carried out to the short exposure image. And the blur kernel is estimated with the image pair under the maximum a posteriori (MAP) framework using conjugate gradient algorithm. Then a L0 image smoothing based denoising method is applied to the luminance equalized image. And the final deblurring result is obtained with the gain controlled residual image deconvolution process with the edge map as the gain map. Furthermore, a real experimental optical system is built to capture the image pair in order to demonstrate the effectiveness of the proposed deblurring framework. The long/short image pairs are obtained under different exposure time and camera gain control. Experimental results show that the proposed method could provide a superior deblurring result in both subjective and objective assessment compared with other deblurring approaches.
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