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Sub-pixel registration and image analysis with application to image comparison.

机译：亚像素配准和图像分析，应用于图像比较。

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摘要

It has been known that the image analysis can provide efficient methodology for various fields. Among various application of image analysis, image comparison is one of the important areas that can be applied. Image comparison is required to find the similarities or differences between image pairs. The classical way for comparison is the visual inspection by human observers. But visual comparison is subjective and impractical when the number of image pairs are huge. In this case, autonomous image comparator is preferable. Also, image analysis can offer systemic way to find the one-to-one correspondence of each pixels. In this thesis, we have studied three different application of image analysis.;In the first part of this research, we propose sub-pixel registration algorithm. Our target application is to register two images taken by different quality imaging device such as digital camera. Different imaging devices produce shift, rotation, scaling and other nonlinear distortions although they contain the same scene. To overcome these distortion and to register them, we used region splitting and histogram matching method. Proposed algorithm showed robust performance for both digital camera images and scanner images.;In the second and third part, we propose autonomous image comparator. The images that need to be compared can be hard-copy or soft-copy depending on the application. The hard-copy form is the result of image reproduction device like printers and we want to see how good is the reproduced image. For this objective, we need to convert hard-copy image into soft-copy using another imaging device such as scanner. In the second part of this thesis, we propose image comparison algorithm under these circumstances. In addition, we proposed several preprocessing algorithm to reduce the effects of the scanner and mistakes made by end users. Our proposed algorithm is also another application of objective measurement for the goodness of the reproduced image.;We also studied for the soft-copy image comparison. In this case, the reproduced images are unpredictably distorted. The distortion can be noticeable or unnoticeable and may depend on the contents of the image. Our goal is to prescreen the noticeable differences. To distinguish noticeably different image pairs, we proposed segmentation based image comparison algorithm. We proposed segmentation algorithm that is suitable for our comparison image pairs. The comparison is made based on the segmentation map. With these procedures, the comparator can distinguish noticeable and unnoticeable differences. With the proposed algorithm, we do not need to inspect each image visually. Many image pairs can be replaced by computer algorithm. This tool is efficient for the automation of image comparison when the number of image pairs are huge.
机译：已知图像分析可以为各种领域提供有效的方法。在图像分析的各种应用中，图像比较是可以应用的重要领域之一。需要进行图像比较才能找到图像对之间的相似性或差异。比较的经典方法是人类观察者的目视检查。但是，当图像对数量巨大时，视觉比较是主观的且不切实际的。在这种情况下，优选自主图像比较器。同样，图像分析可以提供系统的方法来找到每个像素的一一对应关系。本文研究了图像分析的三种不同应用。在本研究的第一部分，我们提出了亚像素配准算法。我们的目标应用是注册由不同质量的成像设备（如数码相机）拍摄的两个图像。尽管不同的成像设备包含相同的场景，但它们会产生偏移，旋转，缩放和其他非线性失真。为了克服这些失真并进行注册，我们使用了区域分割和直方图匹配方法。所提出的算法对数码相机图像和扫描仪图像均具有鲁棒的性能。在第二部分和第三部分中，我们提出了自主图像比较器。根据应用，需要比较的图像可以是硬拷贝或软拷贝。硬拷贝形式是打印机之类的图像复制设备的结果，我们想看看复制的图像有多好。为此，我们需要使用其他成像设备（例如扫描仪）将硬拷贝图像转换为软拷贝。在本文的第二部分，我们提出了在这种情况下的图像比较算法。此外，我们提出了几种预处理算法，以减少扫描仪的影响和最终用户所犯的错误。我们提出的算法还是客观测量中复制图像质量的另一种应用。;我们还研究了软拷贝图像的比较。在这种情况下，再现的图像无法预料地失真。失真可能是明显的，也可能是不明显的，并且可能取决于图像的内容。我们的目标是预先筛选出明显的差异。为了区分明显不同的图像对，我们提出了基于分割的图像比较算法。我们提出了适合我们的比较图像对的分割算法。基于分割图进行比较。通过这些程序，比较器可以区分明显的差异和不明显的差异。使用提出的算法，我们不需要目视检查每个图像。许多图像对可以用计算机算法代替。当图像对数量巨大时，此工具对于自动进行图像比较非常有效。

著录项

  • 作者

    Han, Yeesoo.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 127 p.
  • 总页数 127
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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