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Application of an Improved Method of Wavelet Transform in Image Edge Detection

机译:改进的小波变换方法在图像边缘检测中的应用

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Edge detection is widely used to extract and analyze contour and texture feature. This paper focuses on researches of wavelet analysis and the application of its improved method in edge detection. The basic idea of the improved method is that we first preprocess image, and the image texture will be shown when processing it under a uniform threshold, then the texture curve becomes thinner after the morphological processing for the texture is done. Experimental results show that the improved texture is more clearly and accurately under the same threshold and image texture becomes much thinner after morphological preprocessing. The improved method is effective.
机译:边缘检测广泛用于提取和分析轮廓和纹理特征。本文着重研究小波分析及其改进方法在边缘检测中的应用。改进方法的基本思想是,我们先对图像进行预处理,然后在统一的阈值下对图像进行纹理处理,然后在对纹理进行形态学处理后,纹理曲线变细。实验结果表明,在相同的阈值下,改进的纹理更加清晰,准确,并且经过形态学预处理后图像的纹理变得更薄。改进的方法是有效的。

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