Correction Algorithm of Lighting Non-uniformity on Spherical Fruit
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In terms of spherical fruits, the lighting was usually uneven distribution on the surface of fruits due to the larger change of curvature from fruit surface. Therefore, some drawbacks such as large error and low accuracy were still existed in the grading and assessing for fruit peel color. In order to solve this problem, B-spline lighting correction method was proposed in this study. Using the proposed algorithm, R, G and B channel images abstracted from original RGB image were firstly corrected respectively. Then, the corrected RGB image was changed into HIS color space image and hue H and illumination I component images were abstracted. Finally, the correction performance was assessed by computing the standard deviation of pixels in H and I component images before and after correction. For the investigated 160 orange sample images, the result showed that the corrected images were more uniform in terms of hue and illumination. Only 21.57% and 33.94% of mean standard deviations of original hue and illumination component were obtained. The uniformity of hue and illumination was effectively improved.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:May 11,2013
  • Revised:
  • Adopted:
  • Online: April 10,2014
  • Published: April 10,2014
Article QR Code