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Using quantum filters as edge detectors in infrared images

机译:使用量子滤波器作为红外图像中的边缘检测器

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Some new filters inspired in quantum models are used as edge detectors in infrared images. In this case, Bessel, Hermite and Morse filters will be applied to detect edges and fibrillar structures in infrared images. The edge detectors will be built by the Laplacian of the mentioned quantum filters. Furthermore, using curvature operators, curvature detectors and amplifiers of contrast will be constructed to analyze infrared images. The quantum filter prototyping will be done using computer algebra software, specifically Maple and its package, ImageTools. The quantum filters will be applied to infrared images using the technique of convolutions and blurred derivatives. It is expected that designed quantum filters will be useful for analysis and processing of infrared images. As future investigations, we propose to design plugins with the quantum filters that can be incorporated into the program ImageJ, which will facilitate the use of the quantum filters for the infrared image processing..
机译:一些受量子模型启发的新滤光片被用作红外图像中的边缘检测器。在这种情况下,将使用Bessel,Hermite和Morse滤光片来检测红外图像中的边缘和原纤维结构。边缘检测器将由上述量子滤波器的拉普拉斯算子构建。此外,将使用曲率算子构造曲率检测器和对比度放大器来分析红外图像。量子滤波器的原型制作将使用计算机代数软件完成,特别是Maple及其软件包ImageTools。量子滤波器将使用卷积和模糊导数技术应用于红外图像。预期设计的量子滤波器将对红外图像的分析和处理有用。作为将来的研究,我们建议设计带有量子滤镜的插件,该插件可以合并到ImageJ程序中,这将有助于将量子滤镜用于红外图像处理。

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