{"title":"基于图像处理技术的颜色集检测膝角分析研究","authors":"Patiyuth Pramkeaw","doi":"10.1109/SITIS.2016.109","DOIUrl":null,"url":null,"abstract":"This research aimed to the study analysis knee angle of color set detection using image processing technique. It had been developed to assist the patient after knee joint surgery or those who had knee joint problem by detecting value from color set to record result for treatment planning and shortening time to diagnose or set knee joint treatment planning for physician. This research utilized the video camera to record the knee joint therapy and displayed the color detection real-time result on computer. Connected-component labeling and bounding box techniques using Open CV program to design color detector from color set software which displayed the current angle and recorded the patient data as the new patient and existing patient. Results from three patients showed that the analysis system of knee joint angle was useable. The accuracy of program was 96% and the system could record the patient data as new and existing patient. Moreover, the system could be applied to analyze the condition or treatment planning for the physician.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Study Analysis Knee Angle of Color Set Detection Using Image Processing Technique\",\"authors\":\"Patiyuth Pramkeaw\",\"doi\":\"10.1109/SITIS.2016.109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research aimed to the study analysis knee angle of color set detection using image processing technique. It had been developed to assist the patient after knee joint surgery or those who had knee joint problem by detecting value from color set to record result for treatment planning and shortening time to diagnose or set knee joint treatment planning for physician. This research utilized the video camera to record the knee joint therapy and displayed the color detection real-time result on computer. Connected-component labeling and bounding box techniques using Open CV program to design color detector from color set software which displayed the current angle and recorded the patient data as the new patient and existing patient. Results from three patients showed that the analysis system of knee joint angle was useable. The accuracy of program was 96% and the system could record the patient data as new and existing patient. Moreover, the system could be applied to analyze the condition or treatment planning for the physician.\",\"PeriodicalId\":403704,\"journal\":{\"name\":\"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SITIS.2016.109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2016.109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Study Analysis Knee Angle of Color Set Detection Using Image Processing Technique
This research aimed to the study analysis knee angle of color set detection using image processing technique. It had been developed to assist the patient after knee joint surgery or those who had knee joint problem by detecting value from color set to record result for treatment planning and shortening time to diagnose or set knee joint treatment planning for physician. This research utilized the video camera to record the knee joint therapy and displayed the color detection real-time result on computer. Connected-component labeling and bounding box techniques using Open CV program to design color detector from color set software which displayed the current angle and recorded the patient data as the new patient and existing patient. Results from three patients showed that the analysis system of knee joint angle was useable. The accuracy of program was 96% and the system could record the patient data as new and existing patient. Moreover, the system could be applied to analyze the condition or treatment planning for the physician.