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OALib Journal期刊
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Linear Feature Extraction Based on Finite Ridgelet Transform
基于Finite Ridgelet变换的图像线性特征提取

Keywords: Linear feature extraction,Finite ridgelet transform,Finite radon transform,Wavelet transform
线性特征提取
,Finite,Ridgelet变换,Finite,Radon变换,小波变换

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Abstract:

Linear feature detection is very important in image processing and frequently uses in object recognition,image alignment,image matching,movement estimation and object tracking and so on.The Radon and Hough transform is most commonly used for the detection of regular curves such as lines,circles,ellipses,etc.But they are only fit for images with regular shape and only when linear feature is distinct,the lines in the image are efficiently detected.On the other hand,the length of a line cannot be kept by these two transforms,only the position of the line can be determined.And the computational complexity is very high especially in detecting circle features.Finite ridgelet transform is a discrete orthonormal version of ridgelet transform and based on finite ridgelet transform,a more robust linear feature extraction approach combined with dyadic wavelet transform is proposed.Experimental results show the efficiency of this algorithm even in noised scene.

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