| Title |
FPGA Implementation of an Enhanced Method for High-Speed Alignment Marker Recognition |
| Authors |
김현용(Hyun-Yong Kim) ; 정해(Hae Chung) |
| DOI |
https://doi.org/10.5370/KIEEP.2019.68.2.069 |
| Keywords |
Integral Histogram ; Alignment Marker ; Template Matching ; Candidate Clustering |
| Abstract |
Alignment marker recognition is a widely used machine vision technology in production processes, and its core technology is to recognize a marker or a unique pattern rapidly and detect the angle and position of them. However, many small and medium-sized enterprises use imported equipments because they have no ability to implement them with low cost. The objective of this paper provides their necessary solution that processes recognition within 80 ms by using a low specification FPGA. To recognize the maker rapidly, an improved integral histogram with the limited mask size is proposed. Finally, we verify that the proposed algorithm detects the similarity and position of the marker by comparing the clustering among candidates within the limited time. |