Earticle

초록

영어

The specific objective of this paper is to develop a computer vision algorithm to detect and count tangerine flowers in an image for estimate tangerine crops. The algorithm consists of image acquisition, Gaussian filter to remove noise, white color detection, counting of tangerine flowers. A Gaussian filter was used to reduce noise and illumination adjustment as much as possible for better clarity. It is observed that the developed method gives better valid output for tangerine flower detection in natural outdoor lighting, with different lighting condition without any alternative lighting source to control the luminance. The simulation result reveals that the method is reliable, feasible and efficient compared to other existing methods.

목차

Abstract
 1. Introduction
 2. Objectives and Methodology
 3. Results and Discussion
 4. Conclusions and Future Work
 Acknowledgement
 References

키워드

저자

• Ulzii-Orshikh Dorj [ Center for Advanced Image and Information Technology, School of Electronics & Information Engineering, Chon Buk National University, ]
• Keun-kwang Lee [ Dept. of Beauty Arts, Koguryeo College, Naju, Korea ]
• Malrey Lee [ Center for Advanced Image and Information Technology, School of Electronics & Information Engineering, Chon Buk National University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605