{"title":"Canny Edge Detection Based on Radar Image Interpolation Algorithm","authors":"Qingyun Qin, Jianping Jiang","doi":"10.1109/icomssc45026.2018.8941831","DOIUrl":null,"url":null,"abstract":"Due to the single image information and color of the radar scanning image, sawing and fuzzy phenomenon may appear when using the FEOI (Fast Edge-Oriented Interpolation) algorithm to enlarge the display, and it is difficult to obtain a satisfactory visual effect. Therefore, combining with Canny operator to detect the edge of radar scanning image, an improved radar image interpolation algorithm is proposed. Finally, experiments are conducted and compared with the nearest neighbor interpolation algorithm, bilinear interpolation algorithm and FEOI algorithm. The experimental results show that the proposed algorithm is superior to the above algorithms and can effectively reduce aliasing and blurring and obtain the interpolated image with good visual effect. It has great application value for the image interpolation which requires higher real-time.","PeriodicalId":332213,"journal":{"name":"2018 International Computers, Signals and Systems Conference (ICOMSSC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Computers, Signals and Systems Conference (ICOMSSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icomssc45026.2018.8941831","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Due to the single image information and color of the radar scanning image, sawing and fuzzy phenomenon may appear when using the FEOI (Fast Edge-Oriented Interpolation) algorithm to enlarge the display, and it is difficult to obtain a satisfactory visual effect. Therefore, combining with Canny operator to detect the edge of radar scanning image, an improved radar image interpolation algorithm is proposed. Finally, experiments are conducted and compared with the nearest neighbor interpolation algorithm, bilinear interpolation algorithm and FEOI algorithm. The experimental results show that the proposed algorithm is superior to the above algorithms and can effectively reduce aliasing and blurring and obtain the interpolated image with good visual effect. It has great application value for the image interpolation which requires higher real-time.