Feature extraction for head and broken rice detection using image processing technique

• Main Authors: Bibi Hanibah, Siti Sharifah, Bejo, Siti Khairunniza, Wan Ismail, Wan Ishak, Wayayok, Aimrun
• Format: Conference or Workshop Item
• Language: English
• Published: Faculty of Engineering, Universiti Putra Malaysia 2012
• Online Access: http://psasir.upm.edu.my/id/eprint/33581/1/33581.pdf; http://psasir.upm.edu.my/id/eprint/33581/; http://cafei.upm.edu.my/download.php?filename=/TechnicalPapers/CAFEi2012_47.pdf
• Institution: Universiti Putra Malaysia

Rice (Oryza Sativa) is the most important staple food for a large part of human population, especially in Southeast Asia such as Malaysia and Indonesia. Rice has been graded based on three main components namely: grain composition, milling quality and defective parts. Rice grading is important to en...