Evaluation and comparison of open source program solutions for automatic seed counting on digital images

Zohaib Mussadiq, Baranyai Laszlo, L. Helyes, Csaba Gyuricza

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Seed number quantification is an essential agronomic parameter conducted mostly manually or by mechanical counters, both with obvious limitations. Digital image analysis provides a reliable and robust alternative to accurately calculate many biological features. This study presents and evaluates the performance of four open-source image-analysis programs i.e. ImageJ, CellProfiler, P-TRAP and SmartGrain to count crop seeds from digital images captured by camera and scanner. It also evaluates ImageJ program for automated seed counting using macro containing RenyiEntropy threshold algorithm. Digital images of cereal crop seeds were acquired i.e. wheat, barley, maize, rye, oat, sorghum, triticale and rice. All images contained 200 seeds per image present in an area of approx. 1400cm2. RenyiEntropy threshold increased the seed count accuracy of ImageJ from digital camera images. Generally, seed counts from digital camera images of all crops were accurate, but software-crop combination had significant (p

Original languageEnglish
Pages (from-to)194-199
Number of pages6
JournalComputers and Electronics in Agriculture
Volume117
DOIs
Publication statusPublished - Sep 1 2015

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digital images
digital image
Seed
seed
Crops
seeds
cameras
crop
Digital cameras
image analysis
Image analysis
crops
triticale
scanners
sorghum
comparison
evaluation
programme
grain crops
scanner

Keywords

  • CellProfiler
  • ImageJ
  • Maize
  • P-TRAP
  • SmartGrain
  • Wheat

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Horticulture
  • Forestry
  • Computer Science Applications
  • Animal Science and Zoology

Cite this

Evaluation and comparison of open source program solutions for automatic seed counting on digital images. / Mussadiq, Zohaib; Laszlo, Baranyai; Helyes, L.; Gyuricza, Csaba.

In: Computers and Electronics in Agriculture, Vol. 117, 01.09.2015, p. 194-199.

Research output: Contribution to journalArticle

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