Image processing method and apparatus

Patent metadata

Field	Value
Publication number	US-2024404021-A1
Application number	US-202218698708-A
Country	US
Kind code	A1
Filing date	Jul 21, 2022
Priority date	Oct 5, 2021
Publication date	Dec 5, 2024
Grant date	—

Abstract

Discussed is an image processing method and device. An image processing method according to an embodiment can include obtaining an X-ray image, converting the obtained X-ray image into a frequency domain, detecting peak shape information from the converted X-ray image in the frequency domain, selecting a peak candidate region based on detected the peak shape information, determining whether each selected peak candidate region is a grid peak and generating a peak map, filtering the converted X-ray image based on the generated peak map, converting the filtered X-ray image in the frequency domain into a spatial domain, and providing a domain converted X-ray image in the spatial domain.

First claim

1 . An image processing method, comprising:
obtaining an X-ray image; converting the obtained X-ray image into a frequency domain; detecting peak shape information from the converted X-ray image in the frequency domain; selecting a peak candidate region based on the detected peak shape information; determining whether each selected peak candidate region is a grid peak and generating a peak map; filtering the converted X-ray image based on the generated peak map; converting the filtered X-ray image in the frequency domain into a spatial domain; and providing a domain converted X-ray image in the spatial domain.

2 . The image processing method according to claim 1 , wherein regions including peaks exceeding predefined shapes and sizes based on the detected peak shape information are excluded from the peak candidate region.

3 . The image processing method of claim 2 , further comprising detecting peak direction information from the converted X-ray image in the frequency domain.

4 . The image processing method of claim 3 , wherein the determination of whether there is the grid peak is performed based on the peak direction information.

5 . The image processing method of claim 4 , wherein the peak direction information includes direction information on a grid artifact and direction information by a ruler.

6 . The image processing method of claim 5 , wherein, based on the peak direction information, when a peak by the ruler is detected, the peak by the ruler is excluded from the peak map.

7 . The image processing method of claim 6 , wherein the determination of whether there is the grid peak is performed based on analysis of at least one of a peak location, peak intensity, and peak shape information.

8 . The image processing method of claim 7 , wherein a position of a peak indicates a frequency at which the peak is located in the frequency domain, and the closer the peak is to a predetermined frequency, the more weight is given to determine the peak as the grid peak.

9 . The image processing method of claim 7 , wherein a shape of the peak is not determined to be the grid peak when an elongation rate is calculated, and when the calculated elongation rate is greater than or equal to a threshold value.

10 . The image processing method of claim 7 , wherein, in the filtering of the converted X-ray image, a kernel size is determined based on the peak shape information of a grid, and a filter type is determined according to the determined kernel size.

11 . The image processing method of claim 10 , wherein the filtering of the converted X-ray image is performed using n Gaussian notch filters (where n is a natural number of 2 or more) when the determined kernel size based on the peak shape information of the grid is greater than or equal to a threshold.

12 . The image processing method of claim 10 , wherein the filtering of the converted X-ray image is performed using a single Gaussian notch filter when the determined kernel size based on the peak shape information of the grid is less than a threshold.

13 . The image processing method of claim 10 , wherein, in the filtering of the converted X-ray image, the kernel size and filter type for each peak are determined.

14 . The image processing method of claim 10 , wherein, in the filtering of the converted X-ray image, a filtering strength increases closer to a high-frequency region and the filtering strength decreases closer to a low-frequency region.

15 . An image processing device, comprising:
a data receiver configured to obtain an X-ray image; a first converter configured to convert the obtained X-ray image into a frequency domain; a data processor configured to detect peak shape information from the converted X-ray image in the frequency domain, select a peak candidate region based on the detected peak shape information, determine whether each selected peak candidate region is a grid peak and generate a peak map, and filter the converted X-ray image based on the generated peak map; a second converter configured to convert the filtered X-ray image in the frequency domain into a spatial domain; and a controller configured to control a domain converted X-ray image in the spatial domain to be provided.

16 . The image processing device according to claim 15 , wherein regions including peaks exceeding predefined shapes and sizes based on the detected peak shape information are excluded from the peak candidate region.

17 . The image processing device according to claim 16 , wherein the data processor is further configured to detect peak direction information from the converted X-ray image in the frequency domain.

18 . The image processing device according to claim 17 , wherein the peak direction information includes direction information on a grid artifact and direction information by a ruler.

19 . The image processing device according to claim 18 , wherein, based on the peak direction information, when a peak by the ruler is detected by data processor, the peak by the ruler is excluded from the peak map.

20 . An image processing method, comprising:
converting an X-ray image into a frequency domain; detecting peak shape information from the converted X-ray image in the frequency domain; selecting a peak candidate region based on the detected peak shape information; determining whether each selected peak candidate region is a grid peak and generating a peak map; filtering the converted X-ray image based on the generated peak map; and excluding a grid artifact from the peak map.

Assignees

• Lg Electronics Inc

Inventors

• Oh Jaehyun
• Kim Sunghyun
• Im Hyewon
• Yoo Jongsang

Classifications

• G06T2207/20056

  Discrete and fast Fourier transform, [DFT, FFT] · CPC title

• G06T2207/10116

  X-ray image · CPC title

• G06T5/10

  using non-spatial domain filtering · CPC title

• G06T2207/30004

  Biomedical image processing · CPC title

• G06T5/20

  using local operators · CPC title