Image information enhancing method in radiative imaging

Abstract

An enhanced method of image information in the processing of radiation imaging, it relates to handle technology of the image information in processing of radiation imaging. The main steps are: seeking the maximum pixel gray Amax in the gained radiation image A (x ,y) of the measuring object; getting image B (x ,y) by normalizing the image A (x , y), getting image C (x , y) after the image B (x ,y) carrying out mean filtering treatment; getting the image D (x , y) by comparing the difference that image A (x ,y) substrates image B (x ,y) with the border value of pixel point, enhancing its nonlinearity contrast ratio alternation to get the image E (x , y); multiplying the certain strengthening proportion factor alpha (x , y)with E (x , y) , C (x , y) ,getting border strengthen image F(x , y); the strengthen image G (x , y) = (F (x , y) + C (x , y) ) * Amax ultimately. Comparing with the existing technology, the strengthening and handling of image information in this invention has the following advantages, imaging processing speed id quick, the algorithm is simple, imaging is limpid, it removes the noise of image, satisfying the request that the contrast ratio of dark area of scanning image needs to be strengthened.

Description

technical field [0001] The invention relates to image information processing technology in radiation imaging, especially a method for enhancing image information in radiation imaging. Background technique [0002] Radiation imaging technology is now widely used in the fields of industrial non-destructive testing (NDT), medical diagnosis and scientific research. The basic principle is that different substances have different absorption rates of X-rays, resulting in different gray values ​​of pixels in the scanned image after X-rays penetrate the object. When the thickness of the scanned object increases, the energy of the rays decays exponentially. Therefore, the gray value difference of the edge contour of a thick object in the scanned image is much smaller than that of a thin object, that is to say, the contour inside the object will become less and less obvious as the thickness of the scanned object increases. The performance in the scanned image is that the gray value d...

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Problems solved by technology

On the one hand, this processing method enhances the noise of the image, and on the other hand, the enhancement of the weak edges in the dark area is relatively small, which cannot meet the requirement that the contrast of the scanned image needs to be enhanced more in the dark area.

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