Non-destructive Quality Evaluation Technique for Processed Phyllanthus Emblica(Gooseberry) Using Image Processing

Abstract

This paper proposes non-destructive quality evaluation method to categorize a processed phyllanthus emblica (gooseberry) using image processing by color and texture features. Russia is one of the most important gooseberry producers in North Asia, than Germany, Poland, U.K, India 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 processed 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 differentiate the quality of processed gooseberries.