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Review of Different Techniques for Ripe Fruit Detection
Patel Milan,  Dulari Bosamiya
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.
Unique Identification Number - IJEDR1601042Page Number(s) - 247-250Pubished in - Volume 4 | Issue 1 | February 2016DOI (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