@article{MAKHILLAJIT20171616607,
    title = {The Preliminary Analysis of SSDXCORR Techniques
Performance under Multi-Virtual-Condition},
    journal = {Asian Journal of Information Technology},
    volume = {16},
    number = {1},
    pages = {19-23},
    year = {2017},
    issn = {1682-3915},
    doi = {ajit.2017.19.23},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2017.19.23},
    author = {Radin Puteri,Zulhasnizam and},
    keywords = {Inspection,defect detection,Sum Square Different Correlation (SSDXCORR),environment,Malaysia},
    abstract = {Having an automatic vision inspection system has many advantages over manual inspection since
it offers research quality at a professional labor level, able to research more consistently for a long duration at
a faster rate. However, despite of many advantages this system incurred high cost for initial set up, especially
in term of hardware and software set up. Therefore, realizing the cost involved, we suggest the usage of
smartphone camera and algorithm that developed by using Matlab 2012a in this study. We also developed and
modified readily available algorithms, SSDXCORR by Yu Wu to fit our study needs. Since, our aim are to have
fast, robust and affordable system, we test our algorithms, SSDXCORR with virtual modified images as
preliminary analysis before in real environment. At the end of the analysis, we found this algorithms limitation
and suggest improvement to be done on the algorithm and experimental environment. Having an automatic
vision inspection system has many advantages over manual inspection since it offers research quality at a
professional labor level, able to research more consistently for a long duration at a faster rate. However, despite
of many advantages, this system incurred high cost for initial set up, especially in term of hardware and
software set up. Therefore, realizing the cost involved, we suggest the usage of smartphone camera and
algorithm that developed by using Matlab 2012a in this study. We also developed and modified readily
available algorithms, SSDXCORR by Yu Wu to fit our study needs. Since, our aim are to have fast, robust and
affordable system, we test our algorithms, SSDXCORR with virtual modified images as preliminary analysis
before in real environment. At the end of the analysis, we found this algorithms limitation and suggest
improvement to be done on the algorithm and experimental environment.}
    }