Human body hidden thing image segmentation method based on X-ray back scattering image

Abstract

The invention discloses a human body hidden thing image segmentation method based on an X-ray back scattering image. The method comprises the steps of collecting the X-ray back scattering image, preprocessing the X-ray back scattering image, obtaining an image after preprocessing, carrying out statistics on the preprocessed image, extracting human body areas, gaining the average grey degree u0 of the human body areas, classifying the human body areas again through a K-mean algorithm and a Bayesian classification algorithm and extracting human body hidden things by using a zone marker method. According to the human body hidden thing image segmentation method based on the X-ray back scattering image, the data size is reduced to the greatest extent under the condition that an effect can not be affected, so that computing time is shortened, and the purpose of real-time performance is achieved. Objects which have the relatively low contrast ratio with the background can be well detected. Through two-time segmentation, the purposes that the objects and the background are distinguished and the hidden things are well detected are achieved by using the middle background of a human body, the hidden things are automatically marked, and manual marking is avoided.

Description

technical field [0001] The invention relates to the fields of human body detection and computer image processing, in particular to an image segmentation method for human hidden objects based on X-ray backscattered images. Background technique [0002] As public safety has attracted more and more attention, X-ray backscatter imaging technology has been used in the field of security inspection to detect hidden objects in the human body. The image segmentation of the scanned image is the most basic part of the X-ray backscatter image processing, which aims to extract the hidden objects of the human body from the background image from the X-ray backscatter image. Effective segmentation of human hidden objects is very important for post-processing such as classification of hidden objects, feature extraction and recognition. However, since the image is easily affected by various factors such as illumination, the position of the object on the human body, the posture of the human b...

AI Technical Summary

Problems solved by technology

[0005] There are many image segmentation methods in the prior art, but it takes a long time to segment the hidden objects of the human body, and it cannot effectively detect objects with low contrast with the background

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