基于层次分析法的CCD像元细分算法综合评价

A Comprehensive Evaluation Method Based on Analytic Hierarchy Process for CCD Pixel Subdivision Algorithms

基于CCD的激光测距传感器通过像元细分,可有效提高该类传感器的测量精度。诸多的像元细分算法,每种都有其优缺点及特定应用。然而针对特定的测距传感器,如何综合评价哪种算法更优,尚缺乏有效手段。因此,提出了基于层次分析法的像元细分算法优劣的综合评价方法,该方法基于像元细分算法在传感器测量范围的近段、中段和远段的实际定位精度、方差和极差等指标,利用层次分析法构建综合评价模型。利用该方法,实验分析了二分法、加权质心法、加权多项式插值法和按比例求中心法等像元细分算法对特定测距传感器的适用性。实验结果表明,该方法能够有效获取适用于特定测距传感器的最优像元细分算法。

The accuracy of laser range finder based on CCD can be effectively improved by pixel subdivision. There are mant pixel subdivision algorithms, and each has advantages and specific application. However, according to the specific range finder, there is no effective mean to evaluate which algorithm is better comprehensively. Hence,a comprehensive evaluation method is proposed, which is based on analytic hierarchy process（AHP） and is used to evaluate the pixel subdivision algorithms. This method is based on actual positioning precision, variance and range of the pixel subdivision algorithms in the proximal, the middle and the distal of measuring range of the laser range finder. And it constructs the comprehensive evaluation model by AHP. According to the method, the applicability of the dichotomy, weighted centroid, weighted polynomial interpolation and center from the proportion algorithm for the specific range finder is analyzed by experiment. The experimental results show that the method can be used to obtain the optimal pixel subdivision algorithm for specific range sensor effectively.