IDENTIFICATION OF SEEDS OF DIFFERENT RICE VARIETIES USING IMAGE PROCESSING AND COMPUTER VISION TECHNIQUES

  • Phan Thi Thu Hong
  • Tran Thi Thanh Hai
  • Le Thi Lan
  • Vo Ta Hoang
  • and Nguyen Thi Thuy

Abstract

      This paper presents a system for automated classification of rice varieties for seed production using computer vision and image processing techniques. Rice seeds of different varieties are visually similar in color, shape and texture that make the classification of seeds of different varieties at high accuracy for evaluation of genetic purity challenging. We investigated various feature extraction techniques for efficient rice seed image representation. We analyzed the performance of powerful classifiers on the extracted features for finding the robust one. 1026 to 2229 images each of six different rice varieties in northern Viet Nam were performed. Our experiments have demonstrated that the average accuracy of our classification system can reach 90.54% by using Random Forest method with a basic feature extraction technique. This result can be used for developing a computer-aided machine vision system for automated assessment of varietal purity of rice seeds.

điểm /   đánh giá
Published
2017-10-04
Section
ENGINEERING AND TECHNOLOGY