基于角点特征提取算法的目标识别方法研究

Design of Target Recognition Method Based on Corner Feature Extraction Algorithm

目标识别主要通过目标的颜色、形状、轮廓等特征来获取目标信息,与已知目标进行对比的过程。基于角点特征提取对目标识别非常重要,因为角点具有旋转不变性、对光照反映不明显,这不仅可以提高识别的运行速度还可以提升识别的准确率。在本文中,首先介绍了基于角点特征提取的目标识别理论,列举出图像预处理的方法,通过仿真对目标图像进行灰度化处理和滤波处理。分别用Harris算法与Susan算法对目标图像进行角点提取,最后与原目标图像进行匹配。

Target recognition is the process of comparison with known targets,it mainly obtains target information through target,shape,contour and other features.Corner feature extraction is very important for target recognition,because the corner has rotation invariance and is not obvious to light,it can not only improve the speed of recognition,but also improve the accuracy of recognition.In this paper,firstly,the theory of target recognition based on corner feature extraction is introduced,then gray processing and filtering of target image by simulation.Harris algorithm and Susan algorithm are used to extract the corner of the target image,at last match with the original target image.