Enhanced X‐ray image segmentation method using prior shape. Issue 2 (10th November 2016)

• Record Type: Journal Article
• Authors: Mohammadi, Hossein Mahvash; de Guise, Jacques A.
• Is Part Of: IET computer vision. Volume 11:Issue 2(2017)
• Page Start: 145
• Page End: 152
• Publication Date: 2016-11-10
• Subjects: medical image processing -- image segmentation -- image enhancement -- feature extraction -- edge detection -- X-ray imaging -- computational complexity; enhanced x-ray image segmentation method -- prior shape model -- straightened boundary image -- SBI method -- target object boundary extraction -- constant width -- minimal path algorithm -- cost function minimisation -- computational complexity; Computer vision -- Periodicals; Pattern recognition systems -- Periodicals; 006.37
• DOI: 10.1049/iet-cvi.2016.0301
• Languages: English
• ISSNs: 1751-9632

Abstract

Abstract : An enhanced version of a segmentation algorithm applied in X‐ray images using a prior shape and a straightened boundary image (SBI) is proposed. In the SBI method, the boundary of the target object is extracted with a constant width along the prior shape and transformed to a rectangular image in which the edges are straightened. A new minimal path algorithm is proposed and applied to SBI minimising a cost function to select the best path corresponding to the edges of the target object. The cost function is calculated based on all possible paths from each pixel to the beginning of the image while lowering the computational complexity. Comparing with previous methods, the proposed method removes artefacts and provides clearer and smoother edges even when the prior shape is far from the target object. The method is also less sensitive to the initial positioning of the prior shape model.