Wavelet-based feature extraction technique for fruit shape classification

Slamet Riyadi, Asnor Juraiza Ishak, Mohd. Marzuki Mustafa, Aini Hussain

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

9 Citations (Scopus)

Abstract

For export, papaya fruit should be free of defects and damages. Abnormality in papaya fruit shape represents a defective fruit and is used as one of the main criteria to determine suitability of the fruit to be exported. This paper describes a wavelet-based technique used to perform feature extraction to extract unique features which are then used in the classification task to discriminate deformed papaya fruits from well formed fruits using image processing approach. The extracted features, when used in the classification task using linear discriminant analysis (LDA), afford accuracy of more than 98%.

Original languageEnglish
Title of host publicationProceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008
DOIs
Publication statusPublished - 2008
Event5th International Symposium on Mechatronics and its Applications, ISMA 2008 - Amman
Duration: 27 May 200829 May 2008

Other

Other5th International Symposium on Mechatronics and its Applications, ISMA 2008
CityAmman
Period27/5/0829/5/08

Fingerprint

Fruits
Feature extraction
Discriminant analysis
Image processing
Defects

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Riyadi, S., Ishak, A. J., Mustafa, M. M., & Hussain, A. (2008). Wavelet-based feature extraction technique for fruit shape classification. In Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008 [4648858] https://doi.org/10.1109/ISMA.2008.4648858

Wavelet-based feature extraction technique for fruit shape classification. / Riyadi, Slamet; Ishak, Asnor Juraiza; Mustafa, Mohd. Marzuki; Hussain, Aini.

Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008. 2008. 4648858.

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

Riyadi, S, Ishak, AJ, Mustafa, MM & Hussain, A 2008, Wavelet-based feature extraction technique for fruit shape classification. in Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008., 4648858, 5th International Symposium on Mechatronics and its Applications, ISMA 2008, Amman, 27/5/08. https://doi.org/10.1109/ISMA.2008.4648858
Riyadi S, Ishak AJ, Mustafa MM, Hussain A. Wavelet-based feature extraction technique for fruit shape classification. In Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008. 2008. 4648858 https://doi.org/10.1109/ISMA.2008.4648858
Riyadi, Slamet ; Ishak, Asnor Juraiza ; Mustafa, Mohd. Marzuki ; Hussain, Aini. / Wavelet-based feature extraction technique for fruit shape classification. Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008. 2008.
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