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A METHOD OF TOMATO IMAGE SEGMENTATION BASED ON MUTUAL INFORMATION AND THRESHOLD ITERATION

  • Hongxia Wu
  • Mingxi Li
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 294)

Abstract

Threshold Segmentation is a kind of important image segmentation method and one of the important preconditioning steps of image detection and recognition, and it has very broad application during the research scopes of the computer vision. According to the internal relation between segment image and original image, a tomato image automatic optimization segmentation method (MI-OPT) which mutual information associate with optimum threshold iteration was presented. Simulation results show that this method has a better image segmentation effect on the tomato images of mature period and little background color difference or different color.

Keywords

Mutual Information Image Segmentation Segmentation Method Threshold Segmentation Optimization Segmentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Editorial Department of JournalHuangshi Institute of TechnologyHuangshiChina

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