Image feature repeatability measurement method and apparatus
A measurement method and repeatability technology, applied in the field of medical imaging, can solve the problems of low accuracy and achieve the effect of improving accuracy
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Embodiment 1
[0026] figure 1 The implementation flow of the repeatability measurement method for image features provided by Embodiment 1 of the present invention is shown, and the implementation flow is described in detail as follows:
[0027] Step S101, acquiring a plurality of images, and performing preprocessing on the plurality of images.
[0028] In the embodiment of the present invention, the multiple images may be from computer tomography (Computed Tomography, CT), magnetic resonance scanning (Magnetic Resonance Imaging, MRI), positron emission tomography (Positron Emission Tomography, PET), etc. A medical image of a set of sample objects. Medical images represent the pathological or anatomical information of various tissues through different levels of grayscale display, and the analysis of the grayscale differences of diseased tissues can guide research. Grayscale information usually contains two types of differences: the difference caused by the influence of imaging factors (suc...
Embodiment 2
[0068] image 3 A schematic diagram of the composition of the image feature repeatability measurement device provided by Embodiment 2 of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:
[0069] The devices include:
[0070] An image acquisition module 31, configured to acquire multiple images and perform preprocessing on the multiple images;
[0071] An area acquiring module 32, configured to acquire an area satisfying a preset condition in each of the preprocessed images, and mark the area in each of the images;
[0072] A normalization processing module 33, configured to perform standardization processing on each image, so that the gray value of each pixel in each image is within a preset gray value area;
[0073] The factor value acquisition module 34 is used to extract the image features of the marked area, and acquire a plurality of factor val...
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