&lt;title&gt;Geometry measurement as integrated part of the manufacturing process using a moved CCD camera&lt;/title&gt;

Zapp, Michael; Janocha, Hartmut

doi:10.1117/12.220916

Cited by 2 publications

(1 citation statement)

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“…In the last 20 years, the image measurement technology has developed rapidly at home and abroad and has been widely used in the measurement of geometric parameters of parts [26][27][28][29][30]. The micro-size measurement and appearance detection of precision parts used are aerial remote sensing image, light wave interferogram, and the analysis of stress and strain field state distribution map, and so on.…”

Section: Introductionmentioning

confidence: 99%

Establishment of cellular automata image model and its application in image dimension measurement

Peng

Wang

Liang

2019

J Image Video Proc.

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Aiming at how to improve the efficiency of image edge detection, an image edge detection method based on least squares support vector machine (LSSVM) and cellular automata is proposed. Firstly, a new kernel function is constructed based on the Gauss radial basis kernel and polynomial kernel, which enables the LSSVM to fit the gray values of the image pixels accurately. Then, the gradient operator of the image is deduced, and the gradient value of the image is obtained by convolution with the gray value of the image. Then, the cellular automata evolves the gradient value according to the designed local rules to locate and detect the image edge. Simulation results show that the proposed edge detection algorithm is effective, and the new algorithm has higher detection performance than Sobel and Canny algorithms.

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