Image processing technologies are broadly applied on modern machine vision and industrial inspection , but there is usually a trade-off between accuracy and speed of inspection . We plan to solve the plight by two steps : 1.We will develop many major image processing methods such as image boundary¡Bto remove the noise¡Bpattern match , and so on . 2.We will focus on sub-pixel algorithm and boundary research to improve the image accuracy and processing time by software under limited hardware .
As we know , pixel is the most basic element of an image , but we can divide one pixel into several smaller parts by mathematics ; in the meanwhile , the pixel accuracy can be improved . We will use algorithm to realize the goal in continuous way , and research on the flow of image recognition to find out a best flow for any specific image properties .
|Date||10 July 2002|
|Contributors||Chin-Ching Huang, Jium-Ming Lin, Tzuen-Lih Chern, Song-Jau Tsai, I-Chih Kao|
|Source Sets||NSYSU Electronic Thesis and Dissertation Archive|
|Rights||campus_withheld, Copyright information available at source archive|
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