This site is devoted to mathematics and its applications. Created and run by Peter Saveliev.

Industrial quality inspection

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Coreco Geometric fig2.jpg
Coreco Geometric fig3.jpg
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An example of how Pixcavator can be used in industrial applications. I found these pictures of semiconductor wafers in the white paper Geometric Search Techniques Break Through Traditional Grayscale Correlation Barriers by Steve Geraghty, Director of Operations, Coreco Imaging posted in Machine Vision Online [1]. The paper describes the challenges faced by this industry. It took me about 15 minutes to run Pixcavator and assemble this Excel spreadsheet [2]. The results are below. They are quite encouraging.

I ran the program for each of the images with several area settings. Then I compared the results, the number of dark and light objects, with those of the original. For the scaled image, I had to scale the area settings too to have the outputs matched. The biggest challenge was contrast reversal, figure 2. Here you have to add the number of dark and the number of light objects to have reasonable results. It is clear that the quality of the image matching can be improved dramatically.

Other image analysis examples