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• W2034312498 abstract "The integration between polarization and intensity images possessing complementary and discriminative information hasemerged as a new and important research area. On the basis of the consideration that the resulting image has differentclarity and layering requirement for the target and background, we propose a novel fusion method based onnon-subsampled Contourlet transform (NSCT) and fuzzy C-means (FCM) segmentation for IR polarization and lightintensity images. First, the polarization characteristic image is derived from fusion of the degree of polarization (DOP)and the angle of polarization (AOP) images using local standard variation and abrupt change degree (ACD) combinedcriteria. Then, the polarization characteristic image is segmented with FCM algorithm. Meanwhile, the two sourceimages are respectively decomposed by NSCT. The regional energy-weighted and similarity measure are adopted tocombine the low-frequency sub-band coefficients of the object. The high-frequency sub-band coefficients of the objectboundaries are integrated through the maximum selection rule. In addition, the high-frequency sub-band coefficients ofinternal objects are integrated by utilizing local variation, matching measure and region feature weighting. The weightedaverage and maximum rules are employed independently in fusing the low-frequency and high-frequency components ofthe background. Finally, an inverse NSCT operation is accomplished and the final fused image is obtained. Theexperimental results illustrate that the proposed IR polarization image fusion algorithm can yield an improvedperformance in terms of the contrast between artificial target and cluttered background and a more detailedrepresentation of the depicted scene." @default.
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• W2034312498 date "2014-11-20" @default.
• W2034312498 modified "2023-09-24" @default.
• W2034312498 title "An infared polarization image fusion method based on NSCT and fuzzy C-means clustering segmentation algorithms" @default.
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• W2034312498 doi "https://doi.org/10.1117/12.2071158" @default.
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