• Journal of Infrared and Millimeter Waves
  • Vol. 28, Issue 1, 35 (2009)
GUO Long-Yuan, LU A-Li, and YANG Jing-Yu
Author Affiliations
  • [in Chinese]
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    DOI: Cite this Article
    GUO Long-Yuan, LU A-Li, YANG Jing-Yu. INFRARED IMAGE REGION MATCHING ALGORITHMS BASED ON PHASE CONGRUENCY TRANSFORMATION[J]. Journal of Infrared and Millimeter Waves, 2009, 28(1): 35 Copy Citation Text show less

    Abstract

    Infrared images have higher noise and lower resolution than visible images. This makes it more difficult to achieve a better disparity image in infrared images by using the method based on region matching. After analyzing the phase congruency transformed image, a new region matching method was presented. First, the images were transformed by phase congruency. Next, the images were matched based on region correlation. The experimental result indicates that the noise of images is restrained and the feature is more distiinct after phase congruency. The better matching results can be obtained after we use the region correlation on the changed images.
    GUO Long-Yuan, LU A-Li, YANG Jing-Yu. INFRARED IMAGE REGION MATCHING ALGORITHMS BASED ON PHASE CONGRUENCY TRANSFORMATION[J]. Journal of Infrared and Millimeter Waves, 2009, 28(1): 35
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