英文摘要
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Questionnaire Surveys are often used to collect information in a variety of scientific research fields, especially in one of occupational safety and health. For the accuracy and representative of the collected information, people usually administer a considerable amount of questionnaires. Using machine vision to process a large amount of questionnaires, researchers would inevitably face the fact that the shooting distance will be decreasing as the process goes along. They needed to manually adjust the parameter of the shooting range in order to be able to locate the checkboxes therein. The goal of this work is to develop the automatic adjusting function of the optimal shooting range for the existing system. By generating a higher power regression equation between the distances of the locating marks and the optimal shooting range parameters, the system is programed with the automatic function in accordance with the equation. The WSR test on the experiment results show statistically that this developed automatic functions can effectively reduce the errors between the aiming ROI centers and the aimed checkbox centers. Therefore, the revised system not only can increase the accuracy of the questionnaire recognition, but also raise the efficacy for the software usage.
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参考文献
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