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A contrast correction method for dental images based on histogram registration

机译:基于直方图配准的牙齿图像对比度校正方法

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摘要

Contrast correction is often required in digital subtraction radiography when comparing medical data acquired over different time periods owing to dissimilarities in the acquisition process. This paper focuses on dental radiographs and introduces a novel approach for correcting the contrast in dental image pairs.The proposed method modifies the subject images by applying typical registration techniques on their histograms. The proposed histogram registration method reshapes the histograms of the two subject images in such a way that these images are matched in terms of their contrast deviation. The method was extensively tested over 4 sets of dental images, consisting of 72 registered dental image pairs with unknown contrast differences as well as 20 dental pairs with known contrast differences. The proposed method was directly compared against the well-known histogram-based contrast correction method.The two methods were qualitatively and quantitatively evaluated for all 92 available dental image pairs. The two methods were compared in terms of the contrast root mean square difference between the reference image and the corrected image in each case. The obtained results were also verified statistically using appropriate t-tests in each set.The proposed method exhibited superior performance compared with the well-established method, in terms of the contrast root mean square difference between the reference and the corrected images. After suitable statistical analysis, it was deduced that the performance advantage of the proposed approach was statistically significant.
机译:由于在采集过程中的差异,在比较不同时间段采集的医学数据时,数字减影X射线照相术通常需要进行对比度校正。本文重点介绍了牙科X射线照片,并介绍了一种校正牙齿图像对中对比度的新颖方法。该方法通过在对象图像的直方图上应用典型配准技术来修改对象图像。所提出的直方图配准方法以这样的方式对两个对象图像的直方图进行整形,使得这些图像的对比度偏差匹配。该方法在4组牙齿图像上进行了广泛测试,该图像由72对配准不明对比差异的已注册牙科图像对以及20对对配差已知的牙科图像组成。将所提出的方法与众所周知的基于直方图的对比度校正方法进行了直接比较。定性和定量地评估了这两种方法对所有92对可用牙齿图像的评价。分别根据参考图像和校正后的图像之间的对比均方根差异比较了这两种方法。在每组中也使用适当的t检验对获得的结果进行了统计验证。就参考图像和校正图像之间的对比均方根差异而言,所提出的方法与公认的方法相比具有更好的性能。经过适当的统计分析,可以推断出该方法的性能优势具有统计学意义。

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