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An approach to cereal grain classification

An approach to cereal grain classification


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About the Book

It is found that classification of cereal grain using morphological features extraction is time consuming and required preprocessing techniques like image segmentation and morphological features extraction. Earlier research has made classification of cereal grains using Back Propagation neural network.Here the classification is carried out easily for different types of cereal grains and also the classification is made among white rice samples whose colour are all the same i.e. white. The colour and texture features are extracted and base on these features the grains are classified using Back Propagation neural network and the result is compared using Hopfield network. From the result it is found that Hopfield network is a better choice for cereal grain classification. This approach may be used for content base cereal grain image retrieval.


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Product Details
  • ISBN-13: 9783659693717
  • Publisher: Lap Lambert Academic Publishing
  • Publisher Imprint: LAP LAMBERT Academic Publishing
  • Height: 229 mm
  • No of Pages: 64
  • Series Title: English
  • Weight: 154 gr
  • ISBN-10: 3659693715
  • Publisher Date: 20 Apr 2015
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 4 mm
  • Width: 152 mm


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An approach to cereal grain classification
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An approach to cereal grain classification
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