Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jin-lei Zhu"'
Publikováno v:
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY (CHINESE VERSION). 38:434-441
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98d64ec09d0759a106364980835fc72e
https://doi.org/10.3724/sp.j.1096.2010.00434
https://doi.org/10.3724/sp.j.1096.2010.00434
Publikováno v:
Chinese Journal of Analytical Chemistry. 38:434-441
Mass spectrometry has become a powerful technology for proteome analysis. It would be highly desirable to obtain an exact quantitative value and the dynamic data of each protein in a system for providing important information to study protein functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b60f9b29ccaf6334f715570a6cdbcec
https://doi.org/10.1016/s1872-2040(09)60032-3
https://doi.org/10.1016/s1872-2040(09)60032-3
Publikováno v:
2009 International Symposium on Computer Network and Multimedia Technology.
The automatic detection of medical textile stains has always been a hot spot. An automatic detection method is proposed based on machine vision, which can solve the technical difficult problem of automatic detection technique efficiently. The procedu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::678b6b98f939680c7d499a8887461d31
https://doi.org/10.1109/cnmt.2009.5374618
https://doi.org/10.1109/cnmt.2009.5374618
Publikováno v:
2009 WRI World Congress on Software Engineering.
This paper designs a fabric image registration method after researching texture of fabric. It can find the commonality area of two images quickly and accurately. Generally speaking, it is a good choice to solve the image registration with the relativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c671676b5ecc244c670c4af7d9cd54e
https://doi.org/10.1109/wcse.2009.117
https://doi.org/10.1109/wcse.2009.117
Publikováno v:
CSSE (2)
A new method of recognition the fabric defects features is proposed for alleviating the difficulties of extracting to complicated fabric defects features. First, fast Fourier transform and self-adaptive power spectrum decomposition are performed. Sec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b436b02bfbc0ba60451862df536f10e8
https://doi.org/10.1109/csse.2008.395
https://doi.org/10.1109/csse.2008.395