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Quality Evaluation Technique For Phyllanthus Emblica(Gooseberry) Using Computervision With User Friendly GUI


Rohini K. Patel , G.H.Patel College of Engineering & Technology,AICTE,GTU.


Image Processing; Phyllanthus Emblica (Gooseberry);Colorization using swtches and optimization; Texture feature; Non-Destructive method;Computer Vision; Canny Edge Detection;Decision Tree.


This paper proposes quality assessment method to classify a phyllanthus emblica (gooseberry) using computer vision by surface and geometric features. India is one of the most important gooseberry producers in North Asia, than Germany, Poland, U.K, Russia etc., but fruit sorting in some area is still done by hand which is tedious and inaccurate. Thus, the need exists for improvement of efficiency and accuracy of this fruit quality assessment that can meet the demands of international markets. Low-cost and non-destructive technologies capable of sorting gooseberry according to their properties would help to promote the gooseberry export industries. This paper propose the method of colorization and extracting value parameters, by this parameters the detection of browning or affected part and identification of the uniform shape and size. This differentiates the quality of gooseberries processed as well as fresh. For classification the decision tree is used.

Other Details

Paper ID: IJSRDV1I4011
Published in: Volume : 1, Issue : 4
Publication Date: 01/07/2013
Page(s): 850-856

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