Image processing method for detecting pulmonary tuberculosis focus in chest X-ray DR film

Abstract

The invention provides an image processing method for detecting a pulmonary tuberculosis focus in a chest X-ray DR film. The image processing method comprises the following steps of extracting a lung area image through an active shape model; extracting SURF key feature points of a lung area image; extracting texture descriptors of the key feature points; assigning the kind of the key feature points; performing clustering and combination on the texture descriptors according to a k-means clustering algorithm, and performing classified making on a combination result; setting a group of dimension values, and combining the texture marks of the lung area image according to a sequence from a least dimension value to a minimum dimension value; and deleting the class of which the number of samples is smaller than 5% of the total number in the combining result, thereby only reserving main classes in the combination result, eliminating abnormities and obtaining an image processing result. The image processing method can be used for automatically processing the DR films. The image processing method is applied for screening the pulmonary tuberculosis. The lung DR films which may represent the pulmonary tuberculosis can be screened. The image processing method can be used for large-number pulmonary tuberculosis screening. The image processing method has advantages of high screening efficiency and objective and stable conclusion.

Description

technical field [0001] The invention relates to an image processing method, in particular to an image processing method for detecting pulmonary tuberculosis lesions in chest X-ray DR films. Background technique [0002] Tuberculosis is caused by Mycobacterium tuberculosis, which is easily transmitted by droplets or even aerosols in the air; an infectious tuberculosis patient can infect 10 to 15 people on average in a year; BCG vaccination of newborns cannot prevent adult diseases, tuberculosis The main body of patients is young and middle-aged people, once the disease occurs, it will lead to the loss of family and social labor force; the World Health Organization pointed out that tuberculosis is an important public health problem in the world. Globally, tuberculosis kills 1.4 million people every year; in China, there are currently 5 million active pulmonary tuberculosis 50,000 people die from tuberculosis every year, which is equivalent to 1 death every 10 minutes; accordin...

AI Technical Summary

Problems solved by technology

Doctors in grass-roots medical and health institutions must supervise and visit regularly; large-scale resident physical examinations generate too much data, and the workload of screening is very heavy. Doctors have limited time and it is difficult to perform manual inspections one by one. At present, there is no effective chest X-ray DR slice analysis

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