Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.912
The aim of this study is to monitor watermelon ripeness based on image processing technique and fuzzy logic as classifier. The RGB color technique is utilized as the extracted features for the watermelon’s rind. Further, the extracted feature is classified using fuzzy logic system to determine the ripeness level of the watermelon. In addition, the same set of watermelons is graded by both human expert and fuzzy logic system for comparison purpose. Results attained demonstrate the ability of the proposed method in grading and classifying ripeness of watermelons.
Watermelons, RGB Color Space, Fuzzy Logic
Farah Yasmin Abdul Rahman, Shah Rizam Mohd Shah Baki, Ahmad Ihsan Mohd Yassin, Nooritawati Md. Tahir, Wan Illia Wan Ishak, "Monitoring of Watermelon Ripeness Based on Fuzzy Logic", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 67-70, doi:10.1109/CSIE.2009.912