Paper Title:
Image Segmentation Method Based on Fisher Criterion and Genetic Algorithm
  Abstract

Precise recognition of the weed by computer vision, furthermore raising the weeding efficiency, reducing the use of herbicide, and decreasing the pollution to the environment is one of the key technologies in the field of precision agriculture. To determine the optimal threshold in image automatic segmentation and solve one-dimensional histogram without obvious peak and valley distribution, image segmentation method based on fisher criterion and improved adaptive genetic algorithm is proposed. This method can preserve the multifamily of population and the astringency of the algorithm, and can overcome the problems of poor astringency and premature occurrence. The result shows that the proposed approach has better immunity to Salt and Pepper Noise and greatly shortens the time of image segmentation.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
928-932
DOI
10.4028/www.scientific.net/KEM.474-476.928
Citation
X. X. Fu, Z. J. Chen, Y. F. Zhao, "Image Segmentation Method Based on Fisher Criterion and Genetic Algorithm", Key Engineering Materials, Vols. 474-476, pp. 928-932, 2011
Online since
April 2011
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Price
$32.00
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