Segmentation of tomatoes in open field images with shape and temporal constraints

Ujjwal Verma, Florence Rossant, Isabelle Bloch, Julien Orensanz, Denis Boisgontier

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

Abstract

With the aim of estimating the growth of tomatoes during the agricultural season, we propose to segment tomatoes in images acquired in open field, and to derive their size from the segmentation results obtained in pairs of images acquired each day. To cope with difficult conditions such as occlusion, poor contrast and movement of tomatoes and leaves, we propose to base the segmentation of an image on the result obtained on the image of the previous day, guaranteeing temporal consistency, and to incorporate a shape constraint in the segmentation procedure, assuming that the image of a tomato is approximately an ellipse, guaranteeing spatial consistency. This is achieved with a parametric deformable model with shape constraint. Results obtained over three agricultural seasons are very good for images with limited occlusion, with an average relative distance between the automatic and manual segmentations of 6.46% (expressed as percentage of the size of tomato).

Original languageEnglish
Title of host publicationPattern Recognition Applications and Methods - 3rs International Conference, ICPRAM 2014, Revised Selected Papers
PublisherSpringer Verlag
Pages162-178
Number of pages17
Volume9443
ISBN (Print)9783319255293
DOIs
Publication statusPublished - 2015
Event3rd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2014 - Angers, France
Duration: 06-03-201408-03-2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9443
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2014
CountryFrance
CityAngers
Period06-03-1408-03-14

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

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