Research of spatial high-pass filtering algorithm in particles real-time measurement system

Xuanhong Jin; Shuguang Dai; Pingan Mu

doi:10.1117/12.866485

19 August 2010 Research of spatial high-pass filtering algorithm in particles real-time measurement system

Xuanhong Jin, Shuguang Dai, Pingan Mu

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78201A (2010) https://doi.org/10.1117/12.866485
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

With the application development of CIMS, enterprises have the more need of the CAQ systems during the process of flexibility and automation. Based the means of computer-based vision technology, Automated Visual Inspection (AVI) is a non-contact measurement mean synthesizing the technologies such as image processing, precision measurement. The particles real-time measurement system is the system which analyzes the target image obtained by the computer vision system and gets the useful measure information. In accordance with existing prior knowledge, the user can timely take some measures to reduce the floating ash. According to the analysis of the particle images, this paper researches the image high-pass filter means, Gradient arithmetic, with characteristics of images. In order to get rid of the interference of background and enhance the edge lines of particles, it uses the two directions kernel to process the images. This Spatial high-pass filtering algorithm also helps to conduct the ensuing image processing to obtain useful information of floating ash particles.

Citation Download Citation

Xuanhong Jin, Shuguang Dai, and Pingan Mu "Research of spatial high-pass filtering algorithm in particles real-time measurement system", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201A (19 August 2010); https://doi.org/10.1117/12.866485

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KEYWORDS

Particles

Image processing

Linear filtering

Computing systems

Image analysis

Spatial filters

Convolution

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