Multi-targets attitude recognition method based on Hough and improved Radon transform

Xiuqin Su, Tao Lu, Jiali Liang
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引用次数: 1

Abstract

Traditional Hough transform can not locate the accurate position of line segments. It is too complex in practical liner target detection based on improved Radon. Both transforms is used associated in this paper in order to recognize the attitude of multi-targets as line segments accurately with an acceptable complexity in calculation. A new method called fast approaching algorithm using changing pace nonius length is also presented to determine the scale of targets quickly. Self-adaptive precision is also used in the processing.
基于Hough和改进Radon变换的多目标姿态识别方法
传统的霍夫变换不能精确定位线段的位置。在实际应用中,基于改进Radon的线性目标检测过于复杂。为了在可接受的计算复杂度下准确地将多目标姿态识别为线段,本文将这两种变换结合使用。提出了一种利用变化步长快速逼近算法快速确定目标尺度的新方法。加工中还采用了自适应精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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