| 楔环贫点阵探测器图像的形状恢复方法 |
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| 引用本文： | 文鹏程,张亚棣,王向军,卫红. 楔环贫点阵探测器图像的形状恢复方法[J]. 红外与激光工程, 2013, 42(5): 1366-1371 |
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| 作者姓名： | 文鹏程 张亚棣 王向军 卫红 |
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| 作者单位： | 1.中航工业西安航空计算技术研究所,陕西 西安 710119; |
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| 基金项目： | 国家自然科学基金（60872097） |
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| 摘 要： | 新型楔环贫点阵光电探测器有利于微小型视觉系统的实现,然而它采集的图像分辨率极低,不能反映与目标外在形状相同或相近的特征。为了使该探测器及其图像能够应用于目标识别,提出一种独特的形状恢复方法。以楔环中心为原点旋转探测器,获取一系列原始低分辨率图像,通过最小二乘线性插值对目标形状进行初步恢复,利用嵌入边缘指示函数的两级水平集演化算法去除图像噪声,可得到最终的高质量的目标形状。实验表明,文中提出的形状恢复方法行之有效,形状恢复率达95%。
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| 关 键 词： | 形状恢复 贫点阵探测器 楔环图像 线性插值 水平集演化 |
| 收稿时间： | 2012-09-12 |
Shape recovery from images acquired by a wedge-ring poor-pixels detector |
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| Affiliation: | 1.AVIC Computing Technique Research Institute,Xi'an 710119,China;2.College of Precision Instrument and Opto-Electronics Engineering,Tianjin University,Tianjin 300072,China;3.School of Systems Engineering,University of Reading,Reading RG6 6AY,UK |
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| Abstract: | A novel wedge-ring poor-pixels photoelectric detector is valuable for a micro vision system. However an image acquired by the detector has extremely low resolution and it does not reflect the same or similar shape information of an object in the real world. To enable such a detector and its images available in further object identification, a unique shape recovery framework was presented in this paper. By rotating the wedge-ring detector around its center in a sub-wedge range, original low-resolution images were generated. Then linear interpolation along with a least squares method was applied to preliminarily recover the object shape. After noise removal via a two-stage level set evolution with an edge indicator function, the final high-quality object shape was achieved. Experiments demonstrate the effective performance of the proposed algorithms, in which the shape recovery rate is up to 95%. |
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