Identification of orchid species using content-based flower image retrieval

Diah Harnoni Apriyanti, Aniati Murni Arymurthy, Laksana Tri Handoko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

In this paper, we developed the system for recognizing the orchid species by using the images of flower. We used MSRM (Maximal Similarity based on Region Merging) method for segmenting the flower object from the background and extracting the shape feature such as the distance from the edge to the centroid point of the flower, aspect ratio, roundness, moment invariant, fractal dimension and also extract color feature. We used HSV color feature with ignoring the V value. To retrieve the image, we used Support Vector Machine (SVM) method. Orchid is a unique flower. It has a part of flower called lip (labellum) that distinguishes it from other flowers even from other types of orchids. Thus, in this paper, we proposed to do feature extraction not only on flower region but also on lip (labellum) region. The result shows that our proposed method can increase the accuracy value of content based flower image retrieval for orchid species up to ± 14%. The most dominant feature is Centroid Contour Distance, Moment Invariant and HSV Color. The system accuracy is 85,33% in validation phase and 79,33% in testing phase.

Original languageEnglish
Title of host publicationProceeding - 2013 International Conference on Computer, Control, Informatics and Its Applications
Subtitle of host publication"Recent Challenges in Computer, Control and Informatics", IC3INA 2013
PublisherIEEE Computer Society
Pages53-57
Number of pages5
ISBN (Print)9781479910786
DOIs
Publication statusPublished - 1 Jan 2013
Event2013 International Conference on Computer, Control, Information and Its Applications, IC3INA 2013 - Jakarta, Indonesia
Duration: 19 Nov 201321 Nov 2013

Publication series

NameProceeding - 2013 International Conference on Computer, Control, Informatics and Its Applications: "Recent Challenges in Computer, Control and Informatics", IC3INA 2013

Conference

Conference2013 International Conference on Computer, Control, Information and Its Applications, IC3INA 2013
CountryIndonesia
CityJakarta
Period19/11/1321/11/13

Keywords

  • centroid contour distance
  • flower image retrieval
  • HSV color
  • orchid
  • Support Vector Machine

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