A scoliosis detection method based on polynomial curve fitting

Abstract

The invention discloses a scoliosis detection and recognition method based on polynomial curve fitting. The method comprises the steps that a machine vision scheme is used for automatically extractingthe center line of a back spine, curve fitting is conducted in combination with back feature points, and cobb angle calculation is conducted. According to the method, the spine center line of a person can be efficiently and accurately obtained through the depth camera, cobb angle calculation is carried out on the spine center line to carry out lateral bending judgment, the labor intensity of manual detection is greatly reduced, and the diagnosis precision is improved. Through cubic polynomial fitting, subsequent processing of the data can be ensured, the situation that higher-order polynomialfitting generates oscillation in actual use and affects the data precision is avoided, and a guarantee is provided for the accuracy of the data.

Description

technical field [0001] The invention belongs to using a machine vision scheme to automatically extract the midline of the back spine, perform curve fitting combined with back feature points, and perform cobb angle calculation, and specifically refers to a scoliosis detection method based on a polynomial curve fitting and curvature extraction method method. Background technique [0002] Scoliosis, also known as scoliosis, has the characteristics of multiple occurrences. In recent years, the occurrence of scoliosis in the population is increasing year by year, which has a certain impact on people's work and life. Therefore, spine detection has a wide range of applications. The commonly used method for scoliosis detection is the scoliosis ruler and the Adams forward bend test. However, due to the shortcomings of manual detection, such as low efficiency, high labor intensity, and error-proneness, scoliosis detection is gradually developing from manual processing to computer au...

AI Technical Summary

Problems solved by technology

Traditional scoliosis extraction has many disadvantages

First, the use of scoliosis ruler to measure the rotation angle of the torso, Adams forward bending test and other methods will have a large workload, and when a large number of people are surveyed, manual detection will become quite cumbersome and inefficient. Low, and doctors may also cause misjudgment and misjudgment due to fatigue

Second, the X-rays used in the detection of scoliosis have a certain amount of radioactivity, which has a certain impact on human health

However, the price of the newly developed harmless detection in foreign countries is very high, which is difficult for ordinary patients in ordinary hospitals to use. Therefore, the development of harmless, reliable and efficient detection equipment can bring great improvement to the spine detection problem.

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