Invariant feature descriptor based on harmonic image transform for plant leaf retrieval

Sophia Jamila Zahra, Riza Sulaiman, Anton Satria Prabuwono, Seyed Mostafa Mousavi Kahaki

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Feature descriptor for image retrieval has emerged as an important part of computer vision and image analysis application. In the last decades, researchers have used algorithms to generate effective, efficient and steady methods in image processing, particularly shape representation, matching and leaf retrieval. Existing leaf retrieval methods are insufficient to achieve an adequate retrieval rate due to the inherent difficulties related to available shape descriptors of different leaf images. Shape analysis and comparison for plant leaf retrieval are investigated in this study. Different image features may result in different significance interpretation of images, even though they come from almost similarly shaped of images. A new image transform, known as harmonic mean projection transform (HMPT), is proposed in this study as a feature descriptor method to extract leaf features. By using harmonic mean function, the signal carries information of greater importance is considered in signal acquisition. The selected image is extracted from the whole region where all the pixels are considered to get a set of features. Results indicate better classification rates when compared with other classification methods.

Original languageEnglish
Pages (from-to)107-114
Number of pages8
JournalPertanika Journal of Science and Technology
Volume25
Issue numberS6
Publication statusPublished - 1 Jun 2017

Fingerprint

Plant Leaves
transform
Image retrieval
Image analysis
Computer vision
leaves
Image processing
image interpretation
Pixels
image analysis
computer vision
methodology
leaf extracts
researchers
shape analysis
Research Personnel
image processing
pixel
method

Keywords

  • Feature descriptor
  • Harmonic image transform
  • Image processing
  • Leaf retrieval

ASJC Scopus subject areas

  • Computer Science(all)
  • Chemical Engineering(all)
  • Environmental Science(all)
  • Agricultural and Biological Sciences(all)

Cite this

Invariant feature descriptor based on harmonic image transform for plant leaf retrieval. / Zahra, Sophia Jamila; Sulaiman, Riza; Prabuwono, Anton Satria; Kahaki, Seyed Mostafa Mousavi.

In: Pertanika Journal of Science and Technology, Vol. 25, No. S6, 01.06.2017, p. 107-114.

Research output: Contribution to journalArticle

Zahra, Sophia Jamila ; Sulaiman, Riza ; Prabuwono, Anton Satria ; Kahaki, Seyed Mostafa Mousavi. / Invariant feature descriptor based on harmonic image transform for plant leaf retrieval. In: Pertanika Journal of Science and Technology. 2017 ; Vol. 25, No. S6. pp. 107-114.
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