On-line measurement of deposit dimension in spray forming using image processing technology

Abstract Image processing technology, which offers a new approach for on-line deposit dimension measurement in spray forming, has been developed in this paper. First, an adaptive smoothing operator is used to eliminate noise based on analysis of the resource of image noise. Second, a new edge detection operator— Sobel–Zernike moments operator is used to detect the edge of deposit image. Lastly, the characteristic deposit dimension such as outer diameter of a tubular deposit is calculated. Test of this new image processing method shows that the whole running time of one image processing is less than 0.987 s, while the relative error of deposit dimension measurement is lower than 0.32%, indicating that this is an on-line accurate measurement method for deposit dimension in spray forming process.

[1]  Patrick S. Grant,et al.  Infrared Thermal Imaging Measurement of Deposit Surface Temperatures During Spray Deposition , 1990 .

[2]  Ming Li,et al.  Using Hopfield neural network and 2D evolutionary operators to detect image edge , 2000, Optics and Optoelectronic Inspection and Control.

[3]  Manfred H. Hueckel.  An Operator Which Locates Edges in Digitized Pictures , 1971, J. ACM.

[4]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[5]  Sugata Ghosal,et al.  Orthogonal moment operators for subpixel edge detection , 1993, Pattern Recognit..

[6]  Enrique J. Lavernia,et al.  Sensors and techniques used to monitor processing parameters during spray atomization and deposition , 1995, Journal of Materials Science.

[7]  S. D. Savkar,et al.  Near infrared measurements in close-coupled gas atomization , 1996 .

[8]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.