Volume & Issue no: Volume 4, Issue 6, June 2015
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Title: |
Geometric Pattern Recognition System based on Statistical Parameters using Image Processing |
Author Name: |
Nishan Singh, Birinderjit singh |
Abstract: |
ABSTRACT
The presented paper deals with the automatic visual inspection of the geometric patterns to recognise and classify. The scheme
used for the classification of geometric patterns consists of four steps: 1) Pattern Generation 2) Making the pattern Rotation
Invariant 3) Feature extraction and 3) Recognition and Classification. The pattern is generated by using any imaging tool e.g.
by using paint-brush. The pattern is then made rotation independent by applying orthogonal transformation. After this,
statistical features like, maximum radii in each quadrant, intercepts on each axis, perimeter, standard deviation, figure aspect
and area, are computed from the image. The set of data of statistical parameters of each pattern so obtained is normalised to
mean radius and stored for classification/categorization purposes.
Keywords— COG, NSD, MR, FA, |
Cite this article: |
Nishan Singh, Birinderjit singh , "
Geometric Pattern Recognition System based on Statistical Parameters using Image Processing" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) ,
Volume 4, Issue 6, June 2015 , pp.
060-063 , ISSN 2319 - 4847.
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