Plastic bottle shape classification using partial erosion-based approach

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

5 Citations (Scopus)

Abstract

In this paper, a work on representing plastic bottle shape using erosion based approach for an automated classification is reported. Morphological operations are used to describe the structure or form of an image. By using the twodimensional description of plastic bottle silhouettes, edge detection of the object silhouette is performed followed by the erosion process. This work will compare two versions of erosion which are regular erosion, the Matlab function imerode and the improved version of erosion which is called partial erosion. Normalization procedure in which the sum pixel value after erosion is divided by the sum pixel of the whole silhouette is done. The normalized values are grouped into histograms of 9 bins of sum pixel value(9HbSPV), find its maximum number to form as a feature set and is then used as inputs to train a neural network for plastic bottle shape classification. Results obtained showed that the proposed feature extraction method can be applied to discriminate plastic bottles according to shape, either slim or broad bottles, efficiently.

Original languageEnglish
Title of host publicationProceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications
DOIs
Publication statusPublished - 2010
Event2010 6th International Colloquium on Signal Processing and Its Applications, CSPA 2010 - Melaka
Duration: 21 May 201023 May 2010

Other

Other2010 6th International Colloquium on Signal Processing and Its Applications, CSPA 2010
CityMelaka
Period21/5/1023/5/10

Fingerprint

Plastic bottles
Erosion
Pixels
Bottles
Bins
Edge detection
Feature extraction
Neural networks

Keywords

  • Erosion
  • Histogram of sum-pixel value
  • Morphological operation
  • Partial erosion
  • Structuring element

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Control and Systems Engineering

Cite this

Ramli, S., Mustafa, M. M., Abd. Wahab, D., & Hussain, A. (2010). Plastic bottle shape classification using partial erosion-based approach. In Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications [5545267] https://doi.org/10.1109/CSPA.2010.5545267

Plastic bottle shape classification using partial erosion-based approach. / Ramli, Suzaimah; Mustafa, Mohd. Marzuki; Abd. Wahab, Dzuraidah; Hussain, Aini.

Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications. 2010. 5545267.

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

Ramli, S, Mustafa, MM, Abd. Wahab, D & Hussain, A 2010, Plastic bottle shape classification using partial erosion-based approach. in Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications., 5545267, 2010 6th International Colloquium on Signal Processing and Its Applications, CSPA 2010, Melaka, 21/5/10. https://doi.org/10.1109/CSPA.2010.5545267
Ramli S, Mustafa MM, Abd. Wahab D, Hussain A. Plastic bottle shape classification using partial erosion-based approach. In Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications. 2010. 5545267 https://doi.org/10.1109/CSPA.2010.5545267
Ramli, Suzaimah ; Mustafa, Mohd. Marzuki ; Abd. Wahab, Dzuraidah ; Hussain, Aini. / Plastic bottle shape classification using partial erosion-based approach. Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications. 2010.
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