C. Z. Basha, M. Reddy, K. Nikhil, P. M. Venkatesh, A. Asish
{"title":"基于哈里斯角技术的x射线图像增强计算机辅助骨折检测","authors":"C. Z. Basha, M. Reddy, K. Nikhil, P. M. Venkatesh, A. Asish","doi":"10.1109/ICCMC48092.2020.ICCMC-000184","DOIUrl":null,"url":null,"abstract":"Rapidly creative innovations are emerging day by day in various fields, particularly in restorative condition. Bone fracture is one of the most common human problem and happens when the high pressure is applied to the bones, or simply because of accidents. High precision diagnosis of bone fracture is an important feature in the medical profession. Owing to fewer physicians, remotely based hospitals cannot have any of the equipment to diagnose fractures. X-ray scans are used to assess the fractures. These X-rays are one of the less expensive techniques for identification of fractures. Harris corner based detection algorithm is proposed to extract features from the image and the extracted features from this algorithm can identify edges, fractures and corners present in the image.300 different X-ray images are collected from Osmania hospital, Hyderabad. Proposed method gives an accuracy of 92% which is better in recognizing fracture compared to the existing methods.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Enhanced Computer Aided Bone Fracture Detection Employing X-Ray Images by Harris Corner Technique\",\"authors\":\"C. Z. Basha, M. Reddy, K. Nikhil, P. M. Venkatesh, A. Asish\",\"doi\":\"10.1109/ICCMC48092.2020.ICCMC-000184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rapidly creative innovations are emerging day by day in various fields, particularly in restorative condition. Bone fracture is one of the most common human problem and happens when the high pressure is applied to the bones, or simply because of accidents. High precision diagnosis of bone fracture is an important feature in the medical profession. Owing to fewer physicians, remotely based hospitals cannot have any of the equipment to diagnose fractures. X-ray scans are used to assess the fractures. These X-rays are one of the less expensive techniques for identification of fractures. Harris corner based detection algorithm is proposed to extract features from the image and the extracted features from this algorithm can identify edges, fractures and corners present in the image.300 different X-ray images are collected from Osmania hospital, Hyderabad. Proposed method gives an accuracy of 92% which is better in recognizing fracture compared to the existing methods.\",\"PeriodicalId\":130581,\"journal\":{\"name\":\"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000184\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhanced Computer Aided Bone Fracture Detection Employing X-Ray Images by Harris Corner Technique
Rapidly creative innovations are emerging day by day in various fields, particularly in restorative condition. Bone fracture is one of the most common human problem and happens when the high pressure is applied to the bones, or simply because of accidents. High precision diagnosis of bone fracture is an important feature in the medical profession. Owing to fewer physicians, remotely based hospitals cannot have any of the equipment to diagnose fractures. X-ray scans are used to assess the fractures. These X-rays are one of the less expensive techniques for identification of fractures. Harris corner based detection algorithm is proposed to extract features from the image and the extracted features from this algorithm can identify edges, fractures and corners present in the image.300 different X-ray images are collected from Osmania hospital, Hyderabad. Proposed method gives an accuracy of 92% which is better in recognizing fracture compared to the existing methods.