Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Muh-Don Hsiao"'
Publikováno v:
Mechanical Systems and Signal Processing. 81:493-514
This paper focused on using image server technology for high precision mechanical positioning. Rapid and precise positioning systems depend on the correct positions of CCD (Charge Coupled Device) video cameras, as well as on pattern matching modes. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32a06add5b1f6da2c4ae920dff18814b
https://doi.org/10.1016/j.ymssp.2016.03.017
https://doi.org/10.1016/j.ymssp.2016.03.017
Publikováno v:
Smart Science, Vol 2, Iss 4, Pp 173-177 (2014)
This platform is mainly intended to be used as a facility for high precision optical continuous images. Then, with a fixed pattern being selected, this platform can quickly search, with resistance to variation, the mark that corresponds to the patter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03f4a34f81c0e66a1c16586e41e28226
http://www.taeti.org/journal/index.php?journal=smartsci&page=article&op=view&path[]=261
http://www.taeti.org/journal/index.php?journal=smartsci&page=article&op=view&path[]=261
Publikováno v:
International Journal of Robotics and Mechatronics. 1:62-66
Automatic detection and location are proposed for the fiducial marks (FM) and reference fiducial marks (RFM) for the LED wafer images in this paper. The LED wafer image has two FMs, where the obvious FM is in the upper layer and the obscure FM is in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e37d5daeeae2d930f138034f0d280c29
https://doi.org/10.21535/ijrm.v1i2.86
https://doi.org/10.21535/ijrm.v1i2.86
Publikováno v:
Smart Science, Vol 2, Iss 3, Pp 154-159 (2014)
This study’s main intention is to propose the best-fit line detection, Region of Interest (ROI) detection and precision measuring method by using an object with an irregular edge in a high precision optical image. In general, an object with a smoot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43a64b0348644040e1c3a106f60d1737
http://www.taeti.org/journal/index.php?journal=smartsci&page=article&op=view&path[]=243
http://www.taeti.org/journal/index.php?journal=smartsci&page=article&op=view&path[]=243
Autor:
Te-Hua Fang, Chien-Hung Liu, Deng-Maw Lu, Kuo, Li-Min, Chuen-Horng Lin, Muh-Don Hsiao, Chun-Chi Lo, Goll, Andreas, Hongying Meng, Miaomiao Bai, Liming Wang, Yali Guo, Anand, Vikas, Kanwar J Singh, Kaur, Kulwinder, Singh Daljit, Arora, Harpreet, Kaur, Taiping Mo, Shengjuan Liao, Mo, Wei, Huang, Di, Bong, Hwan, Kim, Kook, Chan, Ahn, Chi Woo, Lee, Smart Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41143f6dde86150151f498522c4e67fd
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 53:012004
This paper proposed a shot boundary detection method based on color and texture features of frames. The shot boundary detection is employed in order to build a highly efficient method for video description. The research methods include feature extrac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6db4ed60211511f5105a41e42399ac50
https://doi.org/10.1088/1757-899x/53/1/012004
https://doi.org/10.1088/1757-899x/53/1/012004