Methods and systems for displaying electrophysiological lesions
US-2019214148-A1 · Jul 11, 2019 · US
US11410320B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11410320-B2 |
| Application number | US-202017028779-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 22, 2020 |
| Priority date | Oct 11, 2017 |
| Publication date | Aug 9, 2022 |
| Grant date | Aug 9, 2022 |
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The present disclosure discloses an image processing method, apparatus, and a non-transitory computer readable medium. The method can includes: acquiring a three-dimensional (3D) model and original texture images of an object, wherein the original texture images are acquired by an imaging device; determining a mapping relationship between the 3D model and the original texture images of the object; determining, among the original texture images, a subset of texture images associated with a first perspective of the imaging device; splicing the subset of texture images into a spliced texture image corresponding to the first perspective; and mapping the spliced texture image to the 3D model according to the mapping relationship.
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What is claimed is: 1. An image processing method, comprising: determining a mapping relationship between a three-dimensional (3D) model and texture images of an object; determining, among the texture images, a subset of texture images associated with a first perspective of an imaging device; splicing the subset of texture images into a spliced texture image corresponding to the first perspective; and mapping the spliced texture image to the 3D model according to the mapping relationship. 2. The image processing method of claim 1 , wherein determining, among the texture images, the subset of texture images associated with the first perspective of the imaging device further comprises: acquiring a polygonal patch of the 3D model as a patch to be processed; obtaining a normal vector of the patch to be processed; in response to an included angle between an incident ray of the imaging device and the normal vector of the patch to be processed meeting a threshold condition, determining the included angle as the first perspective. 3. The image processing method of claim 1 , wherein splicing the subset of texture images into a spliced texture image corresponding to the first perspective further comprises: determining an overlapping region of the texture images in the subset as a splicing region of the subset; and texture-blending the splicing region to obtain the spliced texture image corresponding to the first perspective. 4. The image processing method of claim 3 , wherein texture-blending the splicing region to obtain the spliced texture image corresponding to the first perspective further comprises: determining a sharpness function of the images in the subset; determining an integrity function of the images in the subset based on a relationship between integrity of the images in the subset and an area of the splicing region; and texture-blending the splicing region based on the sharpness function and the integrity function. 5. The image processing method of claim 1 , further comprising: generating a spliced texture image of a second perspective of the imaging device; and generating a texture model of the 3D model based on the spliced texture images of the first perspective and the second perspective. 6. The image processing method of claim 5 , further comprising: performing light equalization processing on the texture model. 7. An image processing apparatus, comprising: a memory storing a set of instructions; and at least one processor configured to execute the set of instructions to cause the image processing apparatus to: determine a mapping relationship between a three-dimensional (3D) model and texture images of an object; determine, among the texture images, a subset of texture images associated with a first perspective of an imaging device; splice the subset of texture images into a spliced texture image corresponding to the first perspective; and map the spliced texture image to the 3D model according to the mapping relationship. 8. The image processing apparatus of claim 7 , wherein the at least one processor is further configured to execute the set of instructions to cause the image processing apparatus to: acquire a polygonal patch of the 3D model as a patch to be processed; obtain a normal vector of the patch to be processed; in response to an included angle between an incident ray of the imaging device and the normal vector of the patch to be processed meeting a threshold condition, determine the included angle as the first perspective. 9. The image processing apparatus of claim 7 , wherein the at least one processor is further configured to execute the set of instructions to cause the image processing apparatus to: determine an overlapping region of the texture images in the subset as a splicing region of the subset; and texture-blend the splicing region to obtain the spliced texture image corresponding to the first perspective. 10. The image processing apparatus of claim 9 , wherein the at least one processor is further configured to execute the set of instructions to cause the image processing apparatus to: determine a sharpness function of the images in the subset; determine an integrity function of the images in the subset based on a relationship between integrity of the images in the subset and an area of the splicing region; and texture-blend the splicing region based on the sharpness function and the integrity function. 11. The data processing apparatus of claim 7 , wherein the at least one processor is further configured to execute the set of instructions to cause the image processing apparatus to: generate a spliced texture image of a second perspective of the imaging device; and generate a texture model of the 3D model based on the spliced texture images of the first perspective and the second perspective. 12. The data processing apparatus of claim 11 , wherein the at least one processor is further configured to execute the set of instructions to cause the image processing apparatus to: perform light equalization processing on the texture model. 13. A non-transitory computer readable medium that stores a set of instructions that is executable by at least one processor of a computer system to cause the computer system to perform an image processing method, the method comprising: determining a mapping relationship between a three-dimensional (3D) model and texture images of an object; determining, among the texture images, a subset of texture images associated with a first perspective of an imaging device; splicing the subset of texture images into a spliced texture image corresponding to the first perspective; and mapping the spliced texture image to the 3D model according to the mapping relationship. 14. The non-transitory computer readable medium of claim 13 , wherein determining, among the texture images, the subset of texture images associated with the first perspective of the imaging device further comprises: acquiring a polygonal patch of the 3D model as a patch to be processed; obtaining a normal vector of the patch to be processed; in response to an included angle between an incident ray of the imaging device and the normal vector of the patch to be processed meeting a threshold condition, determining the included angle as the first perspective. 15. The non-transitory computer readable medium of claim 13 , wherein splicing the subset of texture images into a spliced texture image corresponding to the first perspective further comprises: determining an overlapping region of the texture images in the subset as a splicing region of the subset; and texture-blending the splicing region to obtain the spliced texture image corresponding to the first perspective. 16. The non-transitory computer readable medium of claim 15 , wherein texture-blending the splicing region to obtain the spliced texture image corresponding to the first perspective further comprises: determining a sharpness function of the images in the subset; determining an integrity function of the images in the subset based on a relationship between integrity of the images in the subset and an area of the splicing region; and texture-blending the splicing region based on the sharpness function and the integrity function. 17. The non-transitory computer readable medium of claim 13 , wherein the set of instructions is further executable by the at least one processor of the computer system to cause the computer system to: generate a spliced texture image of a second perspective of the imaging device; and generate a texture
Texture mapping · CPC title
using texture · CPC title
Determining position or orientation of objects or cameras (camera calibration G06T7/80) · CPC title
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