Open Science Research Excellence
@article{(International Science Index):,
  title    = {Computer Vision Applied to Flower, Fruit and Vegetable Processing},
  author    = {Luis Gracia and  Carlos Perez-Vidal and  Carlos Gracia},
  country   = {},
  abstract  = {This paper presents the theoretical background and
the real implementation of an automated computer system to
introduce machine vision in flower, fruit and vegetable processing
for recollection, cutting, packaging, classification, or fumigation
tasks. The considerations and implementation issues presented in this
work can be applied to a wide range of varieties of flowers, fruits and
vegetables, although some of them are especially relevant due to the
great amount of units that are manipulated and processed each year
over the world. The computer vision algorithms developed in this
work are shown in detail, and can be easily extended to other
applications. A special attention is given to the electromagnetic
compatibility in order to avoid noisy images. Furthermore, real
experimentation has been carried out in order to validate the
developed application. In particular, the tests show that the method
has good robustness and high success percentage in the object
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {5},
  number    = {6},
  year      = {2011},
  pages     = {616 - 622},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 54, 2011},