建立了一种以FPGA电路形式检测多尺度轮廓的算法

S. Laggoune
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引用次数: 1

摘要

数值图像的轮廓提取在图像处理中起着非常重要的作用。描述了一种利用快速小波变换算法提取轮廓的方法。该方法允许检测多尺度轮廓,并通过改变尺度以最佳方式呈现图像中轮廓的所有细节。对于致力于检测多尺度轮廓的实时应用,我们开发了一种基于Mallat(1992)的形式主义的算法,并通过使用Deriche(1987)滤波器将其推广为纯小波函数,我们已经在FPGA电路上建立了它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishment of an algorithm for detecting the multi-scale contours in the forms of FPGA circuits
The extraction of the contours of a numerical image plays a very important role in image processing. A method of contours extraction utilising a rapid wavelet transforms algorithm is described. This method allows the detection of multi-scale contours and in an optimum way all the details of the contours presented in an image by changing the scales. For real time applications dedicated to the detection of multi-scale contours, we have developed an algorithm based on the formalism of Mallat (1992) and by using the Deriche (1987) filter generalised as a pure wavelet function and we have established it on FPGA circuits.
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