Method, device and equipment for identifying non-human tissue area of X-ray image and medium

Abstract

The invention relates to the field of medical image processing, provides an X-ray image non-human tissue area identification method, device and equipment and a computer readable storage medium, and can completely and accurately segment or identify an air area and a beam limiting device area of an X-ray image. The method comprises the following steps: processing an original X-ray grayscale image into a grayscale image with a preset size; according to a preset gray threshold and the highest gray value, calculating the gray image of the preset size based on a sobel operator and a Canny algorithm, and obtaining an overexposure region binary image, a high-brightness region binary image and a boundary region binary image; according to the number of air blocks in the overexposure area binary image and filling of the boundary area binary image, determining an air area in the gray level image of the preset size and outputting an air area binary image; and taking the binary image of the air region and the gray scale image of the preset size as input, and determining a beam limiting device region in the gray scale image of the preset size based on a sobel operator, a Canny algorithm and Hough transform.

Description

technical field [0001] The present invention relates to the field of medical image processing, in particular to a method, device, device and computer-readable storage medium for identifying non-human tissue regions in X-ray images. Background technique [0002] The image of medical digital radiography (DR) equipment roughly includes three parts: air area, beam limiter area and human tissue area. When the X-ray of the medical DR equipment reaches the detector, the area formed by the lead leaf passing through the beam limiter on the X-ray image of the medical DR equipment is the beam limiter area. The area formed on the X-ray image of the equipment is the area of ​​human tissue, and the area formed on the X-ray image of the medical DR equipment is the air area when it reaches the detector without passing through the beam limiter or human tissue, that is, only through the air. Although the human tissue area is the part that should be paid attention to on the X-ray image, the i...

AI Technical Summary

Problems solved by technology

However, the threshold-based segmentation method to identify the air region, because the gray values ​​of the air, the beam limiter and the human tissue area partially overlap, the recognition results are often incomplete or wrong, and the beam limiter area is identified by the hardware method, due to the DR equipment The relative position of the tube and the detector is uncertain, and it is difficult to obtain the beam limiter area. When the threshold-based segmentation method is used like the air area identification method, there is also the same problem as the threshold-based segmentation method to identify the air area. question

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