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机构地区:[1]无损检测技术教育部重点实验室(南昌航空大学),南昌330063
出 处:《南昌航空大学学报(自然科学版)》2017年第3期28-33,共6页Journal of Nanchang Hangkong University(Natural Sciences)
基 金:国家自然科学基金(51765049);无损检测技术教育部重点实验室开放基金(ZD201329003)
摘 要:Hessian算法进行激光条纹中心提取会因干扰噪声的存在产生杂点,影响条纹提取精度。鉴于此,本研究提出了一种基于差影法的Hessian矩阵激光光条中心提取方法。利用图像形态学的处理方法去除部分干扰,结合差影法获取激光条纹目标区域的图像。并利用Hessian矩阵及泰勒级数只对消噪后的激光条纹目标区域进行高斯卷积和泰勒展开,以求得激光条纹中心坐标。从处理速率和提取精度两方面对本研究提出算法进行了评价,结果表明,该方法较单独应用Hessian算法精度提升了30%,处理速率提高了5倍,有效提升了激光条纹中心提取的速率和精度。The extraction method of laser stripe center based on hessian matrix algorithm produces miscellaneous points because of the noise,the accuracy of laser stripe center will be reduced. Therefore,an extraction method of hessian matrix laser stripe centre based on difference image method was presented. The method of image morphology was used to remove the part of the noise. The difference image method was used to acquire the laser stripe target area. The Hessian matrix and the Taylor series were used to Gaussian convolution and Taylor expansion in the laser stripe target area,and the center of the laser stripes was extracted. The algorithm was evaluated from the aspects of processing speed and extraction precision. The results show that the accuracy of the proposed method is improved the 30%,and the speed is improved 5 times,compared with the hessian matrix method,and improved the speed and accuracy of extraction.
关 键 词:图像形态学 差影法 光条目标区域 HESSIAN矩阵 泰勒级数
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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