A new registration evaluation index of multi-mode images

Guosheng Chen; Yingjie Li; Eryou Ji; Lingzhi Xing; Ning Li

doi:10.1117/12.2296299

21 September 2018 A new registration evaluation index of multi-mode images

Guosheng Chen, Yingjie Li, Eryou Ji, Lingzhi Xing, Ning Li

Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 1060544 (2018) https://doi.org/10.1117/12.2296299
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China

Abstract

In the field of image night vision, the registration accuracy of multi-model images might have a significant effect on the final fusion image quality. Due to the lack of the image registration objective evaluation method which conforms to subjective feeling, we researched on the objective evaluation index of multi-sensor image registration based on boundary definition, target saliency and color consistency. Through the introduction of weber's law, we built the human eye perception model. Combined with the local band contrast model, we proposed the boundary definition index of gray fusion image. At the same time, we used the frequency-tuned salient region detection model to calculate the target saliency index of the color fusion image. We calculated the color difference between the fused image and reference color image, and then proposed a color consistency index of image registration. At last, we proposed a new registration evaluation method for multi-model images which has superior performance. The experimental results showed that the new index has higher consistency with the subjective feeling and this index could effectively assess the multi-model images registration accuracy problem in the night vision field.

Citation Download Citation

Guosheng Chen, Yingjie Li, Eryou Ji, Lingzhi Xing, and Ning Li "A new registration evaluation index of multi-mode images", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060544 (21 September 2018); https://doi.org/10.1117/12.2296299

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