In the non-contact measurement using the linear structured light(LSL),the extraction precision of the light stripe center directly affects the measurement accuracy of the whole detection system.To solve the problem th...In the non-contact measurement using the linear structured light(LSL),the extraction precision of the light stripe center directly affects the measurement accuracy of the whole detection system.To solve the problem that general algorithms cannot accurately extract the center of the light stripe with the uneven width and unstable greyvalue distribution,an adaptive optimization method is proposed.In this method,the stripe region is firstly segmented,and the widths of the laser stripe are calculated by boundary detection.The initial stripe center points are computed by the quadratic weighted grayscale centroid method based on the self-adaptive stripe width.After that,these center points are optimized according to the determined slope threshold.The sub-pixel coordinates of these center points are recalculated.Detailed analysis is also performed in line with the proposed evaluation index of the extraction algorithm.The experimental results show that the mean square error of extracted center points is only 0.1 pixel,meaning that the accuracy of laser stripe center extraction is improved significantly by the method.Furthermore,the method can run effectively at a relatively low computational time cost,and can demonstrate great robustness as well.展开更多
Objective: The aim of this study was to analyze factors of psychological disorder experienced by 98 cancer patients and to probe into intervention measures in accordance with the corresponding bad psychological facto...Objective: The aim of this study was to analyze factors of psychological disorder experienced by 98 cancer patients and to probe into intervention measures in accordance with the corresponding bad psychological factors. Methods: A questionnaire survey was conducted in the test group (n = 98) by filling out a symptom checklist 90 (SCL-90). And then the survey result was compared with the normal group (n = 1388) contained in relevant references. Results: Except for hostile factor that was similar to normal level (P 〉 0.05), other 8 factors were higher than in normal group (P 〈 0.01). And the cancer patients were classified with the survey results. Conclusion: Compared with normal persons, cancer patients have more psychological problems and related intervention measures are sought necessarily to improve the quality of life, to advance the immune function and to prolong the survival time of patients.展开更多
基金the National Natural Science Foundation of China(No.51975293)the Aeronautical Science Foundation of China(No.2019ZD052010)。
文摘In the non-contact measurement using the linear structured light(LSL),the extraction precision of the light stripe center directly affects the measurement accuracy of the whole detection system.To solve the problem that general algorithms cannot accurately extract the center of the light stripe with the uneven width and unstable greyvalue distribution,an adaptive optimization method is proposed.In this method,the stripe region is firstly segmented,and the widths of the laser stripe are calculated by boundary detection.The initial stripe center points are computed by the quadratic weighted grayscale centroid method based on the self-adaptive stripe width.After that,these center points are optimized according to the determined slope threshold.The sub-pixel coordinates of these center points are recalculated.Detailed analysis is also performed in line with the proposed evaluation index of the extraction algorithm.The experimental results show that the mean square error of extracted center points is only 0.1 pixel,meaning that the accuracy of laser stripe center extraction is improved significantly by the method.Furthermore,the method can run effectively at a relatively low computational time cost,and can demonstrate great robustness as well.
文摘Objective: The aim of this study was to analyze factors of psychological disorder experienced by 98 cancer patients and to probe into intervention measures in accordance with the corresponding bad psychological factors. Methods: A questionnaire survey was conducted in the test group (n = 98) by filling out a symptom checklist 90 (SCL-90). And then the survey result was compared with the normal group (n = 1388) contained in relevant references. Results: Except for hostile factor that was similar to normal level (P 〉 0.05), other 8 factors were higher than in normal group (P 〈 0.01). And the cancer patients were classified with the survey results. Conclusion: Compared with normal persons, cancer patients have more psychological problems and related intervention measures are sought necessarily to improve the quality of life, to advance the immune function and to prolong the survival time of patients.