Abstract:
Coffee is a beverage obtained from cherry, the fruit of coffee plant. Scaling or grading serve as a
process for controlling the quality of an agricultural commodity so that buyer and seller can do
business without personally examining every lot sold. This study attempts to apply digital image
processing techniques towards sample coffee raw quality value scaling1. More specifically, this
study focuses in the extraction and selection of the decisive coffee bean features that are useful
for the purpose of classification of the raw quality sample coffee beans by designing, analyzing
and testing an automated image processing model.
The research design employed in this study is experimental research which involves dataset
preparation, designing classification model and evaluation. To facilitate experimentation image
processing steps are followed, including image acquisition, image preprocessing (image filtering
and attribute selection), image analysis (segmentation, feature extraction and classification), and
image understanding for raw quality image scaling. ImageJ tool and Matlab programming
language were used.
