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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Details
Paper Title
Review of Different Techniques for Ripe Fruit Detection
Authors
  Patel Milan,  Dulari Bosamiya

Abstract
Many techniques have been developed for ripe fruit image detection. Such as K-means clustering, fuzzy c mean, color segmentation etc. Segmentation is a technique which partitions the images by similarity or equality etc. Segmentation is most important step in image processing. It is used to distinguish various objects in the image. Different ripe fruit detection techniques have been developed by the researchers to detetct ripe fruits image. In this review paper various techniques for ripe fruit image detection are considered.

Keywords- Histogram; K-means Clustering; Fuzzzy c-mean clustering; ANN.
Publication Details
Unique Identification Number - IJEDR1601042
Page Number(s) - 247-250
Pubished in - Volume 4 | Issue 1 | February 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Patel Milan,  Dulari Bosamiya,   "Review of Different Techniques for Ripe Fruit Detection", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 1, pp.247-250, February 2016, Available at :http://www.ijedr.org/papers/IJEDR1601042.pdf
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