An algorithm to improve the accuracy of search boundaries for objects obtained in the X-ray

The paper proposes an algorithm to improve the accuracy of searching the boundaries of objects. We analyze X-ray images. Most often, images obtained in the X-ray range are subject to distortion. Noise and blurring are caused by the nature of the source and the imperfection of the sensor. In our work, we propose the use of a multicomponent processing algorithm. This type of processing is based on step-by-step image analysis. At the first stage, the stage of image blur recovery is performed (deblurring). At the next stage, the operation of filtering images (denoising) and processing the boundaries of objects is performed. The first two steps are performed using adaptive local processing with nonoverlapping windows. At the next stage, the multicriteria processing method is used for the one-dimensional and two-dimensional signals. The first approach is used to reduce the effect of the noise component at the boundaries of objects and is also used as a boundary detector. The second criterion is used to reduce the effect of the noise component in locally stationary areas. The efficiency of the proposed algorithm is shown using the example of medical X-ray data processing and the results of computed tomography. Using the example of the developed software for the analysis of CT images and the restoration of the lost elements of the bone structure, an example of the application of the proposed approaches for performing primary data processing operations is shown.