Grading of fruits on the basis of quality using Image Processing
|International Journal of Computer Science and Engineering|
|© 2016 by SSRG - IJCSE Journal|
|Volume 3 Issue 5|
|Year of Publication : 2016|
|Authors : Vardhini Sharma, Smarika Dutta|
How to Cite?
Vardhini Sharma, Smarika Dutta, "Grading of fruits on the basis of quality using Image Processing," SSRG International Journal of Computer Science and Engineering , vol. 3, no. 5, pp. 68-72, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I5P113
In the era of computer age, with the invention of new technologies the need tocompute with accuracy is increasing. The natural approach of detection of fruit quality is done by the experts on the basis of human eye. Automation of quality assessment of fruits is important in order to reduce human efforts and save time. Image processing can be used to detect the quality of fruit which includes extraction of morphological features. After feature extraction, feature vectors are formed on which K-Means clustering is applied to form clusters. The formation of different clusters helps in grading of fruit.
Image Processing, morphological features, K-means clustering
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