Earticle

초록

영어

This experimental study aimed to develop an efficient algorithm for detecting and sorting mango. Using the acquired image, the features of the mango were extracted and used to identify the class of the mango. The extracted features of the mango are perimeter, area, roundness, and percent defect. The roundness and percent defect were used to identify whether the mango’s quality was export, local or reject. The area was used to determine the size of the mango. An optimal threshold was used in segmentation and boundary tracing was used to determine the perimeter. This study becomes significant and may contribute to the perspective of new knowledge on image clustering model.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Methodology
  3.1. Image analysis
  3.2. Object classification
  3.3. Mango image segmentation
  3.4. Physical properties analysis
 4. Results and Discussion
 5. Conclusion
 References

키워드

저자

• Tomas U. Ganiron Jr. [ International Association of Engineers (IAENG) South Kowloon, Hong Kong ]

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