Method for preprocessing robust skeletal age evaluation image and positioning skeletal key point

Abstract

The invention discloses a method for preprocessing a robust skeletal age evaluation image and positioning a skeletal key point. The method comprises the following steps: step 1, preprocessing a skeletal age X-ray plain film image: selecting a sub-sampling point, fitting a background image by a linear regression method, removing a background of the skeletal age X-ray plain film image, and extracting a target part which is a palm outline image; step 2, performing noise removal processing on the palm outline image obtained in the step 1; and step 3, positioning the skeletal key point in the palm outline image processed in the step 2 by a K cosine method. In the traditional method, the skeletal age is manually decided, the subjective factors of a decider are excessive, and the pressure load is overweight, so that the traditional method is not beneficial for objectively and fairly measuring the skeletal age. According to the method, the preprocessing effect of the skeletal age X-ray plain film image is enabled to be optional and have great robustness, the requirements of operators photographing the skeletal age films on a photographed person is reduced, and the method has great adaptability to skeletal age images.

Description

technical field [0001] The invention relates to an image preprocessing method, in particular to a robust bone age assessment image preprocessing and bone key point positioning method. Background technique [0002] Bone age assessment is to use the internationally accepted TW2 (Tanner and Whitehouse) method and the domestic CHN (Chinese wrist bone development standard CHN method) standard to automatically identify bone age X-ray plain films by computer to determine the age of children aged 2-18. Bone maturity age, ie bone age. Bone age is one of the important indicators in the detection of physical development of children and adolescents, the inspection of endocrine diseases, and the selection of sports materials, so it has a wide range of applications. Currently, bone age assessment methods include manual methods, computer-aided methods, and computer-based automatic assessments. Due to the complexity of skeletal age assessment and too many subjective factors, the first two...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the noise processing effect is not good in the preprocessing stage of the bone age X-ray plain film image, and the preprocessing effect is not good; in the bone key point positioning process of the bone age X-ray plain film image, when the position and orientation of the bone image change , the robustness of the positioning process; under the condition that the clinical bone age X-ray plain film image is not good, the image can still be preprocessed to achieve a more accurate positioning of bone key points

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