Recognition of the unripe strawberry by using color segmentation techniques

 
 
 
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  • 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.


  • References


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Article ID: 21679
 
DOI: 10.14419/ijet.v7i4.21679




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