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Fractional canny edge detection for biomedical applications

机译：生物医学应用中的部分Canny边缘检测

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摘要

This paper presents a comparative study of edge detection algorithms based on integer and fractional order differentiation. A performance comparison of the two algorithms has been proposed. Then, a soft computing technique has been applied to both algorithms for better edge detection. From the simulations, it shows that better performance is obtained compared to the classical approach. The noise performances of those algorithms are analyzed upon the addition of random Gaussian noise, as well as the addition of salt and pepper noise. The performance has been compared to peak signal to noise ratio (PSNR). From results, it is obtained that fractional edge detection with the fuzzy system has better performance.
机译：本文对基于整数和分数阶微分的边缘检测算法进行了比较研究。已经提出了两种算法的性能比较。然后，软计算技术已应用于两种算法，以实现更好的边缘检测。从仿真中可以看出，与传统方法相比，可以获得更好的性能。在添加随机高斯噪声以及添加盐和胡椒噪声的同时，分析了这些算法的噪声性能。该性能已与峰值信噪比（PSNR）进行了比较。从结果可以看出，采用模糊系统的分数边缘检测具有较好的性能。

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