Image processing apparatus, image processing method and image processing program

Abstract

An image processing device realized can perform a proper image processing in a highly versatile state irrespective of the portion of a specimen or the setting of an operator. The image processing device comprises a gradation conversion processing unit (162) for subjecting image data obtained by photographing an object, to a gradation conversion processing on the basis of gradation conversion characteristics having a predetermined shift amount (S) and a predetermined gradient (G), a frequency enhancement processing unit (163) for subjecting the gradation-converted image data to a frequency enhancement processing on the basis of frequency enhancement characteristics or the characteristics of enhancement in individual frequencies, and an image processing condition calculation unit (130) for determining the gradation conversion characteristics and for calculating the frequency enhancement characteristics on the basis of the gradation conversion characteristics. The image processing condition calculation unit calculates the gradation conversion characteristics in the state of a reduced gradient (G), and calculates the frequency enhancement characteristics on the basis of the gradation characteristics so as to execute the frequency enhancement processing from a low-frequency range.

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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