Implementation of robust SIFT-C technique for image classification

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the development of a robust technique for image classification using Scale Invariant Feature Transform (SIFT), abbreviated as SIFT-C. The proposed SIFT-C technique was developed to cater for varying conditions such as lightings, resolution and target range which are known to affect classification accuracies. In this study, the SIFT algorithm is used to extract a set of feature vectors to represent the image and the extracted feature sets are then used for classification of two classes of weed. The weeds are classified as either broad or narrow weed type and the decision will be used in the control strategy of weed infestation in palm oil plantations. The effectiveness of the robust SIFT-C technique was put to test using offline weed images that were captured under various conditions which truly reflect the actual field conditions. A classification accuracy of 95.7% was recorded which implies the effectiveness of the SIFT-C.

Original languageEnglish
Title of host publication2007 5th Student Conference on Research and Development, SCORED
DOIs
Publication statusPublished - 2007
Event2007 5th Student Conference on Research and Development, SCORED - Selangor
Duration: 11 Dec 200712 Dec 2007

Other

Other2007 5th Student Conference on Research and Development, SCORED
CitySelangor
Period11/12/0712/12/07

Fingerprint

work environment
Weeds
Control strategy
Palm oil
Plantation

Keywords

  • Gaussian
  • Keydescriptor
  • Robust
  • SIFT
  • Weed

ASJC Scopus subject areas

  • Education
  • Management Science and Operations Research

Cite this

Implementation of robust SIFT-C technique for image classification. / Ghazali, Kamarul Hawari; Mokri, Siti Salasiah; Mustafa, Mohd. Marzuki; Hussain, Aini.

2007 5th Student Conference on Research and Development, SCORED. 2007. 4451374.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ghazali, KH, Mokri, SS, Mustafa, MM & Hussain, A 2007, Implementation of robust SIFT-C technique for image classification. in 2007 5th Student Conference on Research and Development, SCORED., 4451374, 2007 5th Student Conference on Research and Development, SCORED, Selangor, 11/12/07. https://doi.org/10.1109/SCORED.2007.4451374
Ghazali KH, Mokri SS, Mustafa MM, Hussain A. Implementation of robust SIFT-C technique for image classification. In 2007 5th Student Conference on Research and Development, SCORED. 2007. 4451374 https://doi.org/10.1109/SCORED.2007.4451374
Ghazali, Kamarul Hawari ; Mokri, Siti Salasiah ; Mustafa, Mohd. Marzuki ; Hussain, Aini. / Implementation of robust SIFT-C technique for image classification. 2007 5th Student Conference on Research and Development, SCORED. 2007.
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