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Crack detection in X-ray images using fuzzy index measure by C. Harriet Linda; G. Wiselin Jiji is a Computer Science article available to read on EtoBox.
What is Crack detection in X-ray images using fuzzy index measure about?
Crack of the bone is a very serious medical condition. In medical applications, sensitivity in detecting medical problems and accuracy of detection are often in conflict. Computer detection of cracks can assist the doctors by flagging suspicious cases for closer examinations and thus improve the timeliness and accuracy. This paper presents the detailed image processing procedure including the grid formation, local thresholding, threshold value interpolation, segmentation using fuzzy index measure, background removal, and morphological filtering for the determination of infestation sites of a crack in X-ray image. The image processing procedure was tested with X-ray images of several types of crack bones. Additional tests and analyses were also performed using the developed algorithm on the X-ray images obtained with different image acquisition parameter. Compared to existing methods, this approach enhances the accuracy and reliability of proposed work.
Who reads Crack detection in X-ray images using fuzzy index measure?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- C. Harriet Linda; G. Wiselin Jiji
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 1568-4946)
- Published
- 2011
- Language
- EN
- Field
- Computer Science (Physical Sciences)