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 .
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0710102-151602 |
| Date | 10 July 2002 |
| Creators | Yang, Jeng-Ho |
| Contributors | Chin-Ching Huang, Jium-Ming Lin, Tzuen-Lih Chern, Song-Jau Tsai, I-Chih Kao |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0710102-151602 |
| Rights | campus_withheld, Copyright information available at source archive |
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