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Published on: October 11, 2016
[The Automatic X-ray Radiological Positions Detection Based on Contour and Gary Feature Matching]
Objective:
Designed a method that can automatically distinguish the X-ray radiological positions based on image information.
Abstract:
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.
Abstract:
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.
Abstract:
The algorithm is fast and has a high degree of robust.
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