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《Journal of Qingdao University of Science and Technology(Natural Science Edition)》 2015-05
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Linear Feature Extraction in Range Image

YU Hai-xia;QI Guo-qing;FU Cai-kui;School of Information Science and Technology,Dalian Maritime University;City Institute,Dalian University of Technology;  
Compared with gray image,range image can show the surface information of3 Dobject.Lines,with important structural information in image,are essential to image analysis,such as image segmentation and image recognition.This paper proposes a new line detection method in range image.Line-frame which is composed of lines can precisely and comprehensively extract line feature,and fitness measure is used to evaluate the line-frame which is composed of lines.First and foremost,we estimate surface normal of every range pixel in specific neighborhood.Then,the surface normal is calculated to represent edge strength.Secondly,we connect points to be lines in the way of fitness measure.Finally,lines are marked by Hough transform in range image.Compared with other line feature extraction methods,the proposed method can provide line detection result which is smoother and cleaner.In addition,a single line is gained in the place of crease edge,while two parallel lines are gained in the place of jump edge,which can be3 Dstructural information of range image.
【Fund】: 中央高校基本科研业务费专项资金资助项目(3132013054)
【CateGory Index】: TP391.41
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