DocumentCode :
2927883
Title :
Evaluation of Sobel, Canny, Shen & Castan using sample line histogram method
Author :
Hassan, Mehdi ; Khalid, Noor Elaiza Abdul ; Ibrahim, Asmah ; Noor, Noorhayati Mohamed
Author_Institution :
Fac. of Ind. Inf. Technol., Univ. Industri Selangor, Bestari Jaya
Volume :
3
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
1
Lastpage :
7
Abstract :
This paper introduces a sample line histogram method (SLHM) in evaluating the accuracy in detecting bone edges. CR images of bone joints namely the knee and the elbow joints are used in this experiment. The purpose of the project is to identify the suitable method for bone cortical edge detection. The performance of three edge detection method: Sobel, Canny and Shen & Castan are compared. The resulting images are evaluated by visual inspection and SLHM.
Keywords :
bone; diagnostic radiography; edge detection; image sampling; medical image processing; smoothing methods; statistical analysis; CR bone joint image; Canny bone cortical edge detection; Shen-&-Castan bone cortical edge detection; Sobel bone cortical edge detection; bone fracture; conventional radiography; elbow joint; knee joint; sample line histogram method; smooth edge line image; Bones; Diagnostic radiography; Elbow; Filtering; Histograms; Image edge detection; Information technology; Inspection; Joints; Knee;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
Type :
conf
DOI :
10.1109/ITSIM.2008.4632072
Filename :
4632072
Link To Document :
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