Earticle

초록

영어

The computer vision techniques are required for the identification of leafy vegetables for the development of veggie vision applications. This paper presents the mean and range color features based identification of leafy vegetables. Initially, a total of 18 RGB and HSI color features are chosen. A reverse engineering process is adopted for reduction of features. Finally 12 mean and range features of RGB and HSI color features are selected based on the performance. A BPNN based classifier is used for identification of vegetables. The identification rate is in the range 92-100% for ten types of vegetables. The work finds applications in automatic vending, packing and grading of vegetables, food preparation and the like.

목차

Abstract
 1. Introduction
 2. Proposed Methodology
  2.1 Image Acquisition and Resizing
 3. Feature Extraction and Reduction
  3.1 Color Feature Extraction
  3.2 Feature Reduction
  3.3 Classifier Parameters
 4. Results and Discussions
 5. Conclusion
 References

키워드

저자

• Ajit Danti [ J. N. N. College of Engineering ]
• Manohar Madgi [ K. L. E. Institute of Technology ]
• Basavaraj S. Anami [ K. L. E. Institute of Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605