Recognition of the unripe strawberry by using color segmentation techniques
About this article
Abstract
In this paper, the efficiency comparison is displayed for recognize the unripe strawberry fruit using two different methods; color thresholding and K-means clustering. Color thresholding technique includes the following steps: color thresholding, morphological enhancement and draw mark for tracking. K-means clustering comprises filtering, transform the image to L*a*b color space, binary thresholding and extract the desired strawberry region. The results explained that color thresholding gets the better of K-means in the aspect of accuracy, effectiveness, and speed of code implementation. Both interested parties are written using MATLAB (R2018a) language.
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