光子学报, 2011, 40 (1): 149, 网络出版: 2011-03-08   

基于颜色迁移和聚类分割的偏振图像融合方法

Polarization Image Fusion Method Using Color Transfer and Clustering-Based Segmentation
作者单位
解放军炮兵学院 信息工程系,合肥 230031
摘要
为克服当前偏振图像融合方法存在的不足,提出了一种基于颜色迁移和聚类分割的偏振图像近自然彩色融合方法.该方法首先将偏振参量图像映射到HSI颜色空间,再得到初步的融合图像后将它变换到YIQ颜色空间,并采用颜色迁移技术对其进行颜色修正.通过将修正后的图像变换到HSI颜色空间,并利用对线偏振度图像进行模糊C-均值聚类分割的结果调整融合图像的色调和色饱和度.最后,将处理结果变换回RGB颜色空间,得到最终的图像融合结果.实验结果表明,利用该方法得到的融合图像不仅与人眼视觉感知习惯一致,而且显著增强了目标与背景的对比度.
Abstract
To overcome shortcomings of current polarization image fusion methods, a novel false-color imagery fusion approach based on color transfer and clustering-based segmentation was proposed. Firstly, the images by polarization information analysis were mapped into HSI color space, thus the initial false-color fused image was obtained. Then, the fused image was transformed into YIQ color space, and the chromatic characteristics each channel was modified using those of the reference image. After that, the modified image was transformed into HSI color space, and the segmentation result of the image of degree of linear polarization using fuzzy C-means clustering algorithm was used to adjust its hue component and saturation component. Finally, the resultant image was transformed back into RGB color space, so the final fused image was obtained. Experimental results show that, the proposed method has the merit that the fused result is consistent with the habit of human vision perception, and makes the contrast of artificial targets within the cluttered background more outstanding.

周浦城, 张洪坤, 薛模根. 基于颜色迁移和聚类分割的偏振图像融合方法[J]. 光子学报, 2011, 40(1): 149. ZHOU Pu-cheng, ZHANG Hong-kun, XUE Mo-gen. Polarization Image Fusion Method Using Color Transfer and Clustering-Based Segmentation[J]. ACTA PHOTONICA SINICA, 2011, 40(1): 149.

本文已被 8 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!