Image processing apparatus and image processing method

Abstract

The present invention realizes an image processing apparatus capable of performing appropriate image processing in a state of high versatility regardless of the part of the subject or the setting of the operator. Equipped with: grayscale conversion processing means for performing grayscale conversion processing on image data obtained by photographing a subject based on the grayscale conversion characteristics having a predetermined offset (S) and a predetermined slope (G) (162); For the image data that has implemented the above-mentioned grayscale conversion process, according to the frequency enhancement characteristics as the characteristics of the enhancement degree of each frequency, implement the frequency enhancement processing part (163) of the frequency enhancement process; in determining the above-mentioned grayscale Image processing condition calculation means (130) for calculating the above-mentioned frequency enhancement characteristic from the grayscale transformation characteristic while calculating the grayscale transformation characteristic in a state in which the slope (G) is reduced The above-mentioned frequency enhancement characteristics are calculated from the gradation transformation characteristics to enable execution of frequency enhancement processing in which enhancement is performed from a low-frequency region.

Description

technical field [0001] The present invention relates to an image processing device, an image processing method, and an image processing program for processing radiographic images, and more specifically, to an image processing device, image processing method, and image processing capable of performing appropriate image processing with high versatility program. Background technique [0002] In recent years, in the field of X-ray imaging apparatuses that digitize images of transmitted X-rays of a subject, digitization and high-definition of images are progressing. Here, the image data obtained from transmitted X-rays contains a wealth of information on diseases or lesions of the subject. [0003] On the other hand, when these image data are displayed on various display devices for diagnosis by an operator etc., it is necessary to be able to easily catch the part corresponding to the disease or lesion of the subject with human vision. [0004] Here, image data is displayed aft...

AI Technical Summary

Problems solved by technology

[0042] That is, since the appearance of the image differs depending on the imaging site, if you are not familiar with the content of image processing for each imaging site, you will not be able to obtain appropriate parameters, and it is almost impossible to perform appropriate image processing

[0043] For such reasons, in the prior art described above, there is a problem that the gradation stability of the output image is low.

That is, in the case where the parameters of the grayscale conversion characteristic are set so that the output image has a density that is easily captured by human vision, and the grayscale conversion is performed on the image data according to the grayscale conversion characteristic, if the representative value D1, D2 or reference signal values ​​T1, T2, etc. used in the grayscale conversion process Even if there is a small calculation error, the output image will have a large deviation from the desired density

In such a case, when a subject is diagnosed by checking the displayed output image, there is a possibility that a serious problem such as missing a patient or lesion of the subject may occur.

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