The dense and accurate measurement of 3D texture is helpful in evaluating the pavement function.To form dense mandatory constraints and improve matching accuracy,the traditional binocular reconstruction technology was...The dense and accurate measurement of 3D texture is helpful in evaluating the pavement function.To form dense mandatory constraints and improve matching accuracy,the traditional binocular reconstruction technology was improved threefold.First,a single moving laser line was introduced to carry out global scanning constraints on the target,which would well overcome the difficulty of installing and recognizing excessive laser lines.Second,four kinds of improved algorithms,namely,disparity replacement,superposition synthesis,subregion segmentation,and subregion segmentation centroid enhancement,were established based on different constraint mechanism.Last,the improved binocular reconstruction test device was developed to realize the dual functions of 3D texture measurement and precision self-evaluation.Results show that compared with traditional algorithms,the introduction of a single laser line scanning constraint is helpful in improving the measurement’s accuracy.Among various improved algorithms,the improvement effect of the subregion segmentation centroid enhancement method is the best.It has a good effect on both overall measurement and single pointmeasurement,which can be considered to be used in pavement function evaluation.展开更多
The article analyzes the classical BM algorithm and an improved algorithm, and then it puts forward a new improved algorithm which called I_BM algorithm according to the characteristics of the string matching. The I_B...The article analyzes the classical BM algorithm and an improved algorithm, and then it puts forward a new improved algorithm which called I_BM algorithm according to the characteristics of the string matching. The I_BM algorithm determines the right distance according to the first character of the pattern string and the distance between the matching windows, so it fasts matching. The matching way of I_BM algorithm is from right to left. In order to verify the IBM algorithm＇ s performance, it does experiments on I_BM algorithm from two aspects of the matching times and the numbers of matching characters under the condition of the same text strings and pattem string. The experimental results show that I_BM algorithm is more quickly and more efficient because it reduces greatly the number of matching and character comparison for maximizing to skip the bad characters.展开更多
基金supported by National Natural Science Foundation of China (52178422)Doctoral Research Foundation of Hubei University of Arts and Science (2059047)National College Students’Innovation and Entrepreneurship Training Program (202210519021).
文摘The dense and accurate measurement of 3D texture is helpful in evaluating the pavement function.To form dense mandatory constraints and improve matching accuracy,the traditional binocular reconstruction technology was improved threefold.First,a single moving laser line was introduced to carry out global scanning constraints on the target,which would well overcome the difficulty of installing and recognizing excessive laser lines.Second,four kinds of improved algorithms,namely,disparity replacement,superposition synthesis,subregion segmentation,and subregion segmentation centroid enhancement,were established based on different constraint mechanism.Last,the improved binocular reconstruction test device was developed to realize the dual functions of 3D texture measurement and precision self-evaluation.Results show that compared with traditional algorithms,the introduction of a single laser line scanning constraint is helpful in improving the measurement’s accuracy.Among various improved algorithms,the improvement effect of the subregion segmentation centroid enhancement method is the best.It has a good effect on both overall measurement and single pointmeasurement,which can be considered to be used in pavement function evaluation.
文摘The article analyzes the classical BM algorithm and an improved algorithm, and then it puts forward a new improved algorithm which called I_BM algorithm according to the characteristics of the string matching. The I_BM algorithm determines the right distance according to the first character of the pattern string and the distance between the matching windows, so it fasts matching. The matching way of I_BM algorithm is from right to left. In order to verify the IBM algorithm＇ s performance, it does experiments on I_BM algorithm from two aspects of the matching times and the numbers of matching characters under the condition of the same text strings and pattem string. The experimental results show that I_BM algorithm is more quickly and more efficient because it reduces greatly the number of matching and character comparison for maximizing to skip the bad characters.
