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Edge detection of colour image based on quaternion fractional differential

机译:基于四元数分数差分的彩色图像边缘检测

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According to the development of the real fractional differential and its applications in the modern signal processing, the authors extend it to quaternion body and put forward a new concept: quaternion fractional differential (QFD), and apply it to edge detection of colour image. This method is called edge detection based on QFD. Simulation experiments indicate that this method has special advantages. Furthermore, the authors give an indicator to evaluate the effectiveness of different edge filters. Comparing with Sobel and mix edges of real fractional differential to every channels of colour image, they discover that QFD has fewer false negatives in the textured regions and is also better at detecting edges that are partially defined by texture, which means the authors can obtain much better results in the interesting regions using QFD and is more consistent with the characteristics of human visual system.
机译:根据实际分数阶微分的发展及其在现代信号处理中的应用,作者将其扩展到四元数体,提出了一个新的概念:四元数分数微分(QFD),并将其应用于彩色图像的边缘检测。这种方法称为基于QFD的边缘检测。仿真实验表明该方法具有特殊的优势。此外,作者提供了一个指标来评估不同边缘滤波器的有效性。与Sobel相比,将实数分数微分的边缘混合到彩色图像的每个通道中,他们发现QFD在纹理区域的假阴性更少,并且在检测由纹理部分定义的边缘方面也更好,这意味着作者可以获得很多使用QFD在有趣的区域获得更好的结果,并且与人类视觉系统的特征更加一致。

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