高频振荡图像片段的定位

A. Trubitsyn, Maksim Shadrin, Andrey Serezhin
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引用次数: 1

摘要

在一般情况下,检测以空间强度的高频波动为特征的图像片段的问题以前在文献中没有被考虑过。本文研究了一系列已知和新的算法,这些算法可以检测和定位这些片段。碎片的几何定位基于连接组件的外部轮廓的像素阵列的霍夫变换。由于作者提出的振荡函数的使用,元件连接成为可能。振荡函数被证明是用于突出图像中的强度波动区域的有效工具,并且在可靠性方面优于用于检测这种区域的替代方法,例如基于梯度方法。本文展示了具有不同背景复杂度的图像片段的定位示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Localization of image fragments with high frequency intensity oscillation
The problem of detecting image fragments characterized by high-frequency fluctuations in spatial intensity in the general case has not been previously considered in the literature. The article researches a sequence of known and new algorithms that allows detection and localization of such fragments. The geometric localization of the fragments is based on the Hough transform of the pixel array of the external contours of the connected components. The components connecting becomes possible due to the use of the oscillation function proposed by the authors. The oscillation function turns out to be an effective tool for highlighting intensity fluctuations zones in an image and is superior in reliability to alternative methods for detecting such zones, based, for example, on gradient methods. The article demonstrates examples of localization of the image fragments with different levels of background complexity.
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来源期刊
CiteScore
0.40
自引率
0.00%
发文量
25
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