Image processing method, program, opthalmic device, and choroidal blood vessel image generation method
An image processing method comprising acquiring a first fundus image obtained by photographing a fundus using first light having a first wavelength, and a second fundus image obtained by photographing the fundus using second light having a second wavelength that is shorter than the first wavelength; specifying, in the first fundus image, respective positions of retinal blood vessels appearing in the second fundus image; and generating a choroidal blood vessel image by processing the positions identified in the first fundus image.
1. An image processing method comprising:
acquiring a first fundus image obtained by photographing a fundus using first light having a first wavelength, and a second fundus image obtained by photographing the fundus using second light having a second wavelength that is shorter than the first wavelength;
identifying first positions in the first fundus image, the first positions corresponding to positions of retinal blood vessels appearing in the second fundus image; and
generating a choroidal blood vessel image by processing pixels at the first positions identified in the first fundus image.
2. The image processing method according to claim 1 , wherein, in generating the choroidal blood vessel image, inpainting processing is performed on the first positions identified in the first fundus image.
3. The image processing method according to claim 1 , further comprising extracting the retinal blood vessels from the second fundus image, wherein,
in generating the choroidal blood vessel image, the retinal blood vessels extracted from the second fundus image are made inconspicuous in the first fundus image.
4. The image processing method according to claim 1 , further comprising extracting the retinal blood vessels from the second fundus image, wherein,
in generating the choroidal blood vessel image, the retinal blood vessels extracted from the second fundus image are removed from the first fundus image.
5. The image processing method according to claim 1 , further comprising extracting the retinal blood vessels by performing black-hat filtering on the second fundus image.
6. The image processing method according to claim 1 , wherein the first fundus image and the second fundus image are acquired by simultaneously photographing the fundus of an eye being examined respectively using the first light and the second light.
7. The image processing method according to claim 1 , wherein the first fundus image and the second fundus image are a red color component image and a green color component image that are acquired by irradiating red color light and green color light using the same optical axis.
8. The image processing method according to claim 1 , further comprising performing processing to enhance choroidal blood vessels in the choroidal blood vessel image.
9. The image processing method according to claim 1 , further comprising performing processing to analyze choroidal blood vessels in the choroidal blood vessel image.
10. The image processing method according to claim 9 , wherein performing the processing to analyze the choroidal blood vessels includes detecting vortex veins.
11. The image processing method according to claim 9 , wherein performing the processing to analyze the choroidal blood vessels includes analyzing positions of vortex veins, macula, and/or optic nerves.
12. The image processing method according to claim 9 , wherein performing the processing to analyze the choroidal blood vessels includes analyzing an orientation of a running direction of the choroidal blood vessels and/or analyzing a blood vessel diameter.
13. The image processing method according to claim 1 , wherein the first fundus image is a fundus image photographed through a wide-angle optical system.
14. The image processing method according to claim 1 , further comprising outputting image data for the choroidal blood vessel image.
15. The image processing method according to claim 1 , comprising acquiring the first fundus image obtained using the first light that passes through a retina and reaches a choroid and the second fundus image obtained using the second light that reaches the retina and does not reach the choroid.
16. The image processing method according to claim 1 , wherein the pixels at the first positions are processed by processing pixel values of the pixels.
17. The image processing method according to claim 16 , wherein the pixel values of the pixels are processed such that a difference between the pixel values of the pixels at the first positions and an average pixel value of pixels surrounding the first positions falls within a predetermined range.
18. A non-transitory computer-readable medium storing information processing program that cause the computer to
acquiring a first fundus image obtained by photographing a fundus using first light having a first wavelength that reaches a choroid;
identifying positions of retinal blood vessels appearing in the first fundus image; and
generating a choroidal blood vessel image by processing pixels at the positions identified in the first fundus image.
19. The non-transitory computer-readable medium according to claim 18 , wherein the pixels at the positions identified in the first fundus image are processed by processing pixel values of the pixels.
20. An ophthalmic device comprising:
a photographic unit that acquires a first fundus image obtained by photographing a fundus using first light having a first wavelength that reaches a choroid;
a processor that executes a program to perform operations comprising:
acquiring the first fundus image;
identifying positions of retinal blood vessels appearing in the first fundus image; and
generating a choroidal blood vessel image by processing pixels at the positions identified in the first fundus image.
21. The ophthalmic device according to claim 20 , wherein the pixels at the positions identified in the first fundus image are processed by processing pixel values of the pixels.