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Digital Image Comparison Using Feature Extraction and Luminance Matching

机译:使用特征提取和亮度匹配的数字图像比较

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摘要

This paper presents the results of comparing two digital images acquired using two different light sources. One of the sources is a 50-W metal halide lamp located in the compartment of an industrial borescope and the other is a 1 W LED placed at the tip of the insertion tube of the borescope. The two images are compared quantitatively and qualitatively using feature extraction and luminance matching approaches. Quantitative methods included the images' histograms, intensity profiles along a line segment, edges, and luminance measurement. Qualitative methods included image registration and linear conformal transformation with eight control points. This transformation is useful when shapes in the input image are unchanged, but the image is distorted by some combination of translation, rotation, and scaling. The gray-level histogram, edge detection, image profile and image registration do not offer conclusive results. The LED light source, however, produces good images for visual inspection by the operator. The paper presents the results and discusses the usefulness and shortcomings of various comparison methods.
机译:本文介绍了比较使用两个不同光源获取的两个数字图像的结果。一种光源是位于工业管道镜隔室中的50 W金属卤化物灯,另一种是置于管道镜插入管尖端的1 W LED。使用特征提取和亮度匹配方法对两个图像进行定量和定性比较。定量方法包括图像的直方图,沿线段的强度分布,边缘和亮度测量。定性方法包括图像配准和带有八个控制点的线性共形变换。当输入图像中的形状不变但图像由于平移,旋转和缩放的某种组合而失真时,此转换很有用。灰度直方图,边缘检测,图像轮廓和图像配准无法提供确定的结果。但是,LED光源会产生良好的图像,以供操作员进行视觉检查。本文介绍了结果,并讨论了各种比较方法的有用性和不足之处。

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