aplikasi computer vision pada kualitas kematangan buah

Clicks: 189
ID: 182209
2012
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Abstract
This paper introduces the computer vision with the comparison of color methods to classify the variants of fruit (tomatoes, chilies, and apples) which is based on the level or stage of ripe.  The color comparison method is quite simple; the tomato images captured by the camera (CCD) will be cropped partly. Then its characteristic color will be extracted and the color grade level will be calculated. The calculation of R (red), G (green) and B (blue) and the transformation of the color to Hue, Saturation, and Value was conducted in order to classify the fruit maturity. Thus, the ripe can be classified into 3, namely Ripe, Half-Ripe, and Un-ripe (not ripe). On contrary, over-ripe cannot be classified because the characteristics of the color is similar with the ripe tomato but the skin texture is slack, so it is not enough to characterize the color used to draw conclusion of being Over-ripe Key words: image processing, computer vision, RGB, HVS
Reference Key
agustiyanto2012sainstek:aplikasi Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;FRANS RIZAL AGUSTIYANTO
Journal eurasip journal on image and video processing
Year 2012
DOI
DOI not found
URL
http://ecampus.iainbatusangkar.ac.id/ojs/index.php/sainstek/article/view/139
Keywords
technology (general)science (general)

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