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研究生(外文):Dong, Siting
論文名稱(外文):Development of the Automatic Questionnaire Input System by Machine Vision
指導教授(外文):Pu, Yongren
口試委員(外文):Pu, YongrenKuo, ChaolinLee, Suhsing
外文關鍵詞:QuestionnaireMachine VisionImage ProcessSafety and Health
  • 被引用被引用:2
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For many scholars in the areas of safety and health, it is very important to collect the quantitative information through questionnaire surveys. In a large-scale survey, hoping that the data of the questionnaire analysis can be more accurate and representative, researchers collect and manage a huge amount of questionnaires, which makes the data input become one of the most important steps in the analytical process. Data input of questionnaires can be done manually or through the card reading devices for further analysis in computers. For manual input people need to consider the questionnaire layouts and the labor cost, while using the card reading devices requires much higher cost since those devices are rental and the questionnaires are made of some specified materials. This research are, therefore, to develop by machine vision an automatic input system, which let researchers be able to conduct a large amount of questionnaire input without the limitations of the layout designs and paper materials.
The questionnaire input system developed in this thesis integrates a number of hardware and software modules. When the system is in operation, each questionnaire sent by a paper feeder is captured by a camera in real time, and analyzed in the graphical user interface. The data acquired after image processing are then saved as a text file. Several experiments were conducted to assess the accuracy and the efficiency of the system. In the performance experiment, we processed a plenty of questionnaires answered using various pens with the specified colors, as well as some specified marks. It was found by statistical analyses that there was no significant difference in the accuracies of all colors; and accuracies answered with checks, ticks and crosses were significantly better than those answered with circles. Of all the accuracies of the software to recognize the checkboxes filled with checks in various colors ranged from 98.77%~99.17%; and to recognize other checkboxes answered with different marks were around 95.32%~99.21%. In the last experiment, we identified that the average processing time for a blank questionnaire was 3119.78ms, and for an answered one was 3154.85ms, which means that the developed software is capable of processing a questionnaire during 3.2 seconds. It is concluded that this automatic questionnaire input system is indeed able to increase the accuracy and efficiency in questionnaire surveys.

摘要 I
Abstract II
目錄 IV
表目錄 VII
圖目錄 VIII
第一章 緒論 1
1.1 研究背景 1
1.2研究目的 2
1.3文獻探討 2
第二章 影像處理 5
2.1影像分析流程 5
2.2影像校正方法 6
2.2.1透視投影模型 6
2.2.2定位標搜尋 9
2.2.3針孔鏡頭校正 10
2.2.4座標轉換 11
2.3選取ROI 12
2.4二值化 12
2.5框線訂定和框內區域萃取 14
2.6型態處理 16
2.7攝距長度訂定 17
第三章 系統架構與設備 19
3.1系統架構 19
3.2軟體開發 20
3.3硬體系統設備 21
3.3.1 系統單晶片 22
3.3.2送紙裝置架構 23
3.3.3 送紙裝置控制電路板 25
3.3.4步進馬達控制脈波信號擷取 27
3.4辨識流程 28
3.5系統流程 29
第四章 實驗架構 32
4.1顏色對辨識率的測試 32
4.1.1實驗方法 32
4.1.2實驗流程 32
4.2各種形狀的填答符號對辨識率的測試 33
4.2.1實驗方法 33
4.2.2實驗流程 34
4.3問卷辨識速度的測試 34
4.3.1實驗方法 34
4.3.2實驗流程 35
第五章 結果與討論 36
5.1實驗結果 36
5.1.1 顏色對辨識率實驗結果 36
5.1.2各種形狀的填答符號對辨識率實驗結果 37
5.1.3 問卷辨識速度的測試實驗結果 39
5.2辨識錯誤之情形 39
5.3硬體失誤之情形 41
第六章 結論與未來方向 42
6.1結論 42
6.2未來方向 42
參考文獻 44
附錄 47
系統單晶片嵌入程式 47

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