Three-dimensional CBCT (cone-beam computed tomography) image denoising method on the basis of improved nonlocal means
A non-local mean, three-dimensional technology, applied in the field of image processing, can solve problems such as few scholars
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[0043] The present invention will be described below with reference to the drawings and specific embodiments of the specification:
[0044] Such as figure 1 As shown, the three-dimensional CBCT image denoising method based on improved non-local mean of the present invention includes:
[0045] Step (1): Obtain the projection data of 3D CBCT images from different angles. The projection data of 3D CBCT images at each angle corresponds to the projection data of a set of 3D CBCT images. Obtain the edge information of the 3D CBCT image and classify the 3D CBCT. Image background sub-block and texture sub-block;
[0046] Step (2): Calculate the noise standard deviation of the background area of the three-dimensional CBCT image and the mean value of the average gradient value of the texture sub-blocks in the three-dimensional CBCT image respectively;
[0047] Step (3): According to the edge information of the three-dimensional CBCT image, the noise standard deviation of the background area...
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