Study on fusion method of infrared and X-ray images based on wavelet transform

CHEN Shuyue; LIU Jinxing; DING Yi

doi:10.7510/jgjs.issn.1001-3806.2015.05.021

An object's surface temperature distribution and surface information can be obtained generally through infrared and visible image fusion. In order to find out internal heat source within an object, an image fusion strategy between infrared and X-ray images based on wavelet transform was proposed because wavelet transform has better multi-resolution properties in time domain and frequency domain. Firstly, the infrared color image was transformed into gray-scale image. Then, Mallat algorithm was employed to decompose the infrared and X-ray images. The fusion image was gotten by the rules of low frequency coefficient averaging and high frequency coefficient absolute value maximizing. The colored temperature information of infrared images was transferred to the fused wavelet images by using YIQ space transform. Finally, the fused image was evaluated quantitatively by image entropy, standard deviation and average gradient. The experiment results show that the fused image integrates infrared and X-ray image information, which reflects not only the component's surface temperature distribution but also its clear inner structure.

Study on fusion method of infrared and X-ray images based on wavelet transform

1. School of Information Science and Engineering, Changzhou University, Changzhou 213164, China

Received Date: 2014-07-03

Accepted Date: 2014-08-29

Available Online: 2015-09-25

Abstract: An object's surface temperature distribution and surface information can be obtained generally through infrared and visible image fusion. In order to find out internal heat source within an object, an image fusion strategy between infrared and X-ray images based on wavelet transform was proposed because wavelet transform has better multi-resolution properties in time domain and frequency domain. Firstly, the infrared color image was transformed into gray-scale image. Then, Mallat algorithm was employed to decompose the infrared and X-ray images. The fusion image was gotten by the rules of low frequency coefficient averaging and high frequency coefficient absolute value maximizing. The colored temperature information of infrared images was transferred to the fused wavelet images by using YIQ space transform. Finally, the fused image was evaluated quantitatively by image entropy, standard deviation and average gradient. The experiment results show that the fused image integrates infrared and X-ray image information, which reflects not only the component's surface temperature distribution but also its clear inner structure.

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Reference (14)

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Study on fusion method of infrared and X-ray images based on wavelet transform

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