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Detecting Edge Using Support Vector Machine

机译:使用支持向量机检测边缘

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摘要

The edge detection is used in many applications in image processing. It is currently crucial technique of image processing. There are various methods for promoting edge detection. Here, it is presented that edge detection can be achieved using Support Vector Machine (SVM). Supervised learning method is applied. Laplacian edge detector is an instructor of Support Vector Machine. In this research, it is presented that any classical method can be applied for training of SVM as edge detector.
机译:边缘检测用于图像处理中的许多应用中。它目前是图像处理的重要技术。有各种促进边缘检测方法。这里,介绍了使用支持向量机(SVM)实现边缘检测。应用了监督学习方法。拉普拉斯边缘探测器是支持向量机的讲师。在本研究中,介绍了任何经典方法可以应用于SVM作为边缘检测器的训练。

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