Tuesday, July 5, 2016

USING PYTHON WITH SIMPLECV TO DETECT A CORN KERNEL IN DIGITAL IMAGE

Corn  kernels  can  have  their  nutritional  and  economic  value  hindered  by factors such as breakage and rot on the grain. The grain classification, in general, is made  by  visual  inspection  of  licensed  professionals,  and  is  a  tedious  and  tiresome process. Besides, the possibility of error is large, due to visual human subjectivity. In an attempt to reduce this subjectivity by using image processing techniques, this paper presents a computational  method  for  acquiring, preprocessing, and segmentation of corn  kernels  of  digital  images. It  is  expected  that,  with  the  proposed  program, researchers  can  have  either  their  focus  or  their  efforts  on  feature  extraction, recognition and interpretation of grains under analysis without spend time with steps related to image manipulation issues.

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