Image truncation artifact correction method and device, equipment and storage medium
A correction method and image technology, applied in the field of image processing, can solve problems such as inaccurate results and inability to solve all-angle truncation
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Embodiment 1
[0045] image 3 It is a flow chart of the method for correcting image truncation artifacts provided by Embodiment 1 of the present invention. This embodiment is applicable to the case of correcting truncation artifacts in images, and the method can be executed by an image truncation artifact correction device. The apparatus for correcting image truncation artifacts may be implemented by software and / or hardware, and the apparatus for correcting image truncation artifacts may be configured on a computing device, specifically including the following steps:
[0046] S110. Acquire a target frontal image and a target lateral image for truncation correction of the scanned object.
[0047] Exemplarily, the object to be scanned may be any object requiring image scanning. The target upright image can be any one or several upright scan images selected from all scanned images of the scanned object for truncation correction. In the target upright image for truncation correction, it is pr...
Embodiment 2
[0060] Figure 5 The flow chart of the image truncation artifact correction method provided by the second embodiment of the present invention, the technical solution of the embodiment of the present invention is based on the technical solution of the above-mentioned embodiment, and further refines the technical solution of the above-mentioned embodiment, specifically Including the following steps:
[0061] S210. Acquire a target frontal image and a target lateral image for truncation correction of the scanned object.
[0062] S220. Determine respectively whether the first middle line data of the target front image and the second middle line data of the target lateral image are truncated.
[0063]Exemplarily, the first middle row data may be the target middle row data to be studied in the target orthographic image, where the target middle row data may be the middle row data of the target orthographic image, or the middle row preset range row Several rows of data, specifically...
Embodiment 3
[0101] Figure 7 The flow chart of the image truncation artifact correction method provided by the third embodiment of the present invention, the technical solution of the embodiment of the present invention is based on the technical solution of the above-mentioned embodiment, and further refines the technical solution of the above-mentioned embodiment, specifically Including the following steps:
[0102] S310. Acquire a target frontal image and a target lateral image for truncation correction of the scanned object.
[0103] S320. Determine respectively whether the first middle line data of the target front image and the second middle line data of the target lateral image are truncated.
[0104] S330. Perform smoothing processing on the first middle row data of the frontal image of the target and the second middle row data of the lateral image of the target, respectively, to obtain first smoothed data and second smoothed data.
[0105] S340. When the number of truncated imag...
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