[The Automatic X-ray Radiological Positions Detection Based on Contour and Gary Feature Matching].
2016
Objective: Designed a method that can automatically distinguish the X-ray radiological positions based on image information. : For any selected input clinical X-ray digital images, we extract the image outline in the edge detection method using optimal threshold selection, then process binarization. After compared with the whole body phantom X-ray images, then process gray level similarity traverse detection. : By optimizing the decision, the best matching region of the same input film was obtained, and the imaging part of the patient is determined based on prior knowledge. : The algorithm is fast and has a high degree of robust.
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