• Electro-Optic Technology Application
  • Vol. 34, Issue 2, 46 (2019)
LI Pei-shan, SHI Chun-jing, and HAO Yong-ping
Author Affiliations
  • [in Chinese]
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    DOI: Cite this Article
    LI Pei-shan, SHI Chun-jing, HAO Yong-ping. MMW Image Segmentation Based on Genetic Algorithm Maximum Entropy Method[J]. Electro-Optic Technology Application, 2019, 34(2): 46 Copy Citation Text show less

    Abstract

    Genetic algorithm and maximum entropy method are used to process millimeter wave (MMW) radiation images. The weakness of slow operation speed of the maximum entropy method is improved and dual-threshold segmentation of MMW images is realized. Experimental results show that the improved maximum entropy method has better effect at improving solving the optimal threshold speed and performing simultaneous multi-targets extraction for low resolution MMW images.
    LI Pei-shan, SHI Chun-jing, HAO Yong-ping. MMW Image Segmentation Based on Genetic Algorithm Maximum Entropy Method[J]. Electro-Optic Technology Application, 2019, 34(2): 46
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