Salah Ghamari, Saber Nemati, Reza Talebi, Abdolvahed Khanahmadzadeh
Department of Agricultural Machinery, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran
Department of Electrical Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran
Department of Agronomy & Plant Breeding, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran
Key words: Color, Dimension, Image processing, Wheat variety.
Automated computer methods which utilize high-speed image capturing and data processing are the most advanced methods, providing a high degree of accuracy in seed quality testing and sorting. In order to present a quick and accurate method for measuring physical properties, the image processing technique was used to characterize the physical properties of six bread wheat genotypes (Azar2, Gaskozhen, MD, Pishgam, Sainoz and Sardari). From each variety, 100 seeds were selected randomly and high quality images of them were acquired. Feature extraction of images, including dimensions, projected area and color of them was down. The results showed that the sardari and sainoz varieties had the maximum and minimum values of seed length. Also for the width and projected area of seeds, maximum and minimum values belong to pishgam and sainoz varieties, respectively.The sardari and MD varieties respectively presented the high and low mean values of R, G and the maximum and minimum values for B belong to sainoz and MD varieties, respectively. These results can be useful in recognition and classification of wheat varieties.
Get the original articles in Source: Volume 6, Number 6, June 2015 – JBES