Earticle

초록

영어

Automatic image annotation is one of crucial and attractive field of image retrieval. Classification process is part of the important phase in automatic image annotation (AIA). With the explosive growth of methods in this research area, this paper proposes 5 processing steps before image annotation using Amazon dataset, i.e., image segmentation, object identification, feature extraction, feature selection and image features classification. A lot of research has been done in creating numbers of different approaches and algorithm for image segmentation. Otsu is one of the most well known method in image segmentation region based. The proposed model aims to provide the highest accuracy after undergo those processing steps. This paper conducted several experiments for image classification starting from image segmentation in order to demonstrate usefulness and competiveness among different type of classifiers. It also target to study the effect of morphological operation and feature selection to the accuracy. For the classification experiment, it was tested using four types of classifiers: BayesNet, NaiveBayesUpdateable, RandomTree and IBk.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Image Classification Model
 4. Experiments and Results
  4.1. Data Collection
  4.2. Classification Results
 5. Conclusion
 References

키워드

저자

• Mokhairi Makhtar [ Senior Lecturer, Faculty of Informatics and Computing, University Sultan Zainal Abidin, Tembila Campus, Terengganu, Malaysia ]
• Nur Shazwani Kamarudin [ Research Scholar, Faculty of Informatics and Computing, University Sultan Zainal Abidin, Tembila Campus, Terengganu, Malaysia ]
• Syed Abdullah Fadzli [ Senior Lecturer, Faculty of Informatics and Computing, University Sultan Zainal Abidin, Tembila Campus, Terengganu, Malaysia ]
• Mumtazimah Mohamad [ Senior Lecturer, Faculty of Informatics and Computing, University Sultan Zainal Abidin, Tembila Campus, Terengganu, Malaysia ]
• Fatma Susilawati Mohamad [ Senior Lecturer, Faculty of Informatics and Computing, University Sultan Zainal Abidin, Tembila Campus, Terengganu, Malaysia ]
• Mohd Fadzil Abdul Kadir [ Senior Lecturer, Faculty of Informatics and Computing, University Sultan Zainal Abidin, Tembila Campus, Terengganu, Malaysia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605