Image Based Estimation of Fruit Phytopathogenic Lesions Area

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

marcal, ars (Author) FCUP; Santos, EMDS (Author) Other; Fernando Tavares (Author) FCUP

Conference proceedings International

Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Pages: 285-295

9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019

1 July 2019 through 4 July 2019

Indexing

Scopus - 1 Citation

Other information

Authenticus ID: P-00R-2EY

DOI: 10.1007/978-3-030-31321-0_25

Abstract (EN): A method was developed to measure the surface area of walnut fruit phytopathogenic lesions from images acquired with a basic calibration target. The fruit is modelled by a spheroid, established from the 2D view ellipse using an iterative process. The method was tested with images of colour circular marks placed on a wooden spheroid. It proved effective in the estimation of the spheroid semi-diameters (average relative errors of 0.8% and 1.0%), spheroid surface (1.77%) and volume (2.71%). The computation of the colour mark surface area was within the expected error, considering the image resolution (up to about 4%), for 22 out of 28 images tested. © 2019, Springer Nature Switzerland AG.

Language: English

Type (Professor's evaluation): Scientific