针对图像中线条的重构与理解,基于多尺度空间理论,提出通过多尺度、多角度高斯-拉普拉斯滤波的最大能量响应,对线条进行自适应增强,同时获取线条的尺度、角度信息,利用非极大值抑制对线条实现检测,利用已获取的线条尺度与角度信息对线条进行重构。实验结果表明该线条重构算法的有效性。%Aiming to lines reconstruction and understanding in images, this paper puts forward maximum energy response by Laplace filter of Gaussian with multi-scale and multi-angle. It adaptively enhances the lines based on multi-scale space theory. Meanwhile it obtains lines scale, angle information and achieves lines detection using on-maximum suppression. Using lines scale and angle information acquired, the lines are reconstructed at last. The experiment results indicate the validity of lines reconstruction algorithm.
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