The Automatic X-ray Radiological Positions Detection Based on Contour and Gary Feature Matching

VernacularTitle:基于轮廓和灰度特征匹配的X线影像成像部位自动判定方法研究
Author: Libo HAN ¹ ; Anran MA ; Ningning REN ; Yong SUN ; Yan SHAO ; Jianfeng QIU
Author Information

1. 泰山医学院放射学院
Keywords: edge detection; gray level matching; image retrieval; image matching
From: Chinese Journal of Medical Instrumentation 2016;40(5):318-321
CountryChina
Language:Chinese
Abstract: Objective Designed a method that can automaticaly distinguish the X-ray radiological positions based on image information.Methods 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.Results By optimizing the decision, the best matching region of the same inputfi lm was obtained, and the imaging part of the patient is determined based on prior knowledge.Conclusion The algorithm is fast and has a high degree of robust.