CBIR for an automated solid waste bin level detection system using GLCM

Maher Arebey, Hannan M A, Rawshan Ara Begum, Hassan Basri

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

7 Citations (Scopus)

Abstract

Nowadays, as the amount of waste increases, the need of automated bin collection and level detection becomes more crucial. The paper present an automated bin level detection using gray level co-occurrence matrices (GLCM) based on content-based image retrieval (CBIR). Bhattacharyya and Euclidean distances were used to evaluate CBIR system. The database consisting of different bin images, the database is divided into five classes such as low, medium, full. Flow and overflow. The GLCM features are extracted from both query image and all the images in the database, the output of the query and database images are compared using the similarity distances Bhattacharyya and Euclidean distances. The result shows that Bhattacharyya performs better than Euclidean in retrieving the top 20 images that are close to the query image. The performance of the automated bin level detection system using GLCM and CBIR system reached 0.716. The combination between the two techniques proved to be efficient and robust.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages280-288
Number of pages9
Volume7066 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2011
Event2nd International Visual Informatics Conference, IVIC 2011 - Selangor
Duration: 9 Nov 201111 Nov 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7066 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Visual Informatics Conference, IVIC 2011
CitySelangor
Period9/11/1111/11/11

Fingerprint

Gray Level Co-occurrence Matrix
Content-based Image Retrieval
Bins
Image retrieval
Solid wastes
Query
Euclidean Distance
Overflow
Image Database
Euclidean
Evaluate
Output

Keywords

  • CBIR
  • GLCM
  • Solid waste management
  • Visual Informatics

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Arebey, M., M A, H., Begum, R. A., & Basri, H. (2011). CBIR for an automated solid waste bin level detection system using GLCM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 7066 LNCS, pp. 280-288). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7066 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-25191-7_27

CBIR for an automated solid waste bin level detection system using GLCM. / Arebey, Maher; M A, Hannan; Begum, Rawshan Ara; Basri, Hassan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7066 LNCS PART 1. ed. 2011. p. 280-288 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7066 LNCS, No. PART 1).

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

Arebey, M, M A, H, Begum, RA & Basri, H 2011, CBIR for an automated solid waste bin level detection system using GLCM. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 7066 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7066 LNCS, pp. 280-288, 2nd International Visual Informatics Conference, IVIC 2011, Selangor, 9/11/11. https://doi.org/10.1007/978-3-642-25191-7_27
Arebey M, M A H, Begum RA, Basri H. CBIR for an automated solid waste bin level detection system using GLCM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 7066 LNCS. 2011. p. 280-288. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-25191-7_27
Arebey, Maher ; M A, Hannan ; Begum, Rawshan Ara ; Basri, Hassan. / CBIR for an automated solid waste bin level detection system using GLCM. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7066 LNCS PART 1. ed. 2011. pp. 280-288 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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