首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >Research on the improvement of image edge detection algorithm based on artificial neural network
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Research on the improvement of image edge detection algorithm based on artificial neural network

机译:基于人工神经网络的图像边缘检测算法改进研究

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Image edge detection is an essential basis of computer vision that has made rapid progress these years. Given the importance of the edge detection and the maturity of ANN (artificial neural network), we provide a research paper on the algorithms of image edge detection based on ANN. Firstly, we review the classic methods of edge detection and introduce some new methods proposed these years. Secondly, the foundations of ANN are briefly introduced. Subsequently, we present a traditional edge detection method based on ANN and summarize some disadvantages of this method. Finally, a new edge detection method based on ANN and parallel computing is put forward. The new method is superior to the old one in the efficiency and accuracy of detection. (C) 2015 Elsevier GmbH. All rights reserved.
机译:图像边缘检测是计算机视觉的重要基础,近年来,计算机视觉已取得了长足的进步。鉴于边缘检测的重要性和ANN(人工神经网络)的成熟度,我们提供了基于ANN的图像边缘检测算法的研究论文。首先,我们回顾了经典的边缘检测方法,并介绍了近年来提出的一些新方法。其次,简要介绍了人工神经网络的基础。随后,我们提出了一种基于人工神经网络的传统边缘检测方法,并总结了该方法的一些缺点。最后,提出了一种基于人工神经网络和并行计算的边缘检测新方法。新方法在检测效率和准确性方面优于旧方法。 (C)2015 Elsevier GmbH。版权所有。

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