Image processing of images that include marker images

US9324152B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9324152-B2
Application numberUS-201514851313-A
CountryUS
Kind codeB2
Filing dateSep 11, 2015
Priority dateMar 15, 2013
Publication dateApr 26, 2016
Grant dateApr 26, 2016

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Abstract

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A method, includes: obtaining an image, the image having marker images and a background image; identifying presence of an object in the background image using a processor; and providing a signal for stopping a procedure if the presence of the object is identified. An image processing apparatus, includes: a processor configured for: obtaining an image, the image having marker images and a background image; identifying presence of an object in the background image; and providing a signal for stopping a procedure if the presence of the object is identified. A computer product having a non-transitory medium storing instructions, an execution of which causes an image processing method to be performed, the method includes: obtaining an image, the image having marker images and a background image; identifying presence of an object in the background image; and providing a signal for stopping a procedure if the presence of the object is identified.

First claim

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The invention claimed is: 1. An image processing method performed during a medical procedure, comprising: obtaining an image, wherein the image is generated using a camera, the image having marker images of markers and a background image, the markers being for determining a position associated with a patient; identifying presence of an object in the background image using a processor; and providing a signal for stopping the medical procedure if the presence of the object is identified, so that the object is prevented from being mistakenly used as a marker for determining the position; wherein the method further comprises setting a plurality of foreground pixels in the image that are to be excluded from detection to have a certain grayscale; and wherein the act of providing the signal is performed using the processor. 2. The method of claim 1 , wherein the act of identifying the presence of the object in the background comprises: dividing the image into a plurality of image portions arranged in a matrix; and determines a mean or median value of pixel values in each of the image portions. 3. The method of claim 2 , wherein the act of identifying the presence of the object in the background further comprises determining a histogram using the determined mean or median values. 4. The method of claim 3 , wherein the act of identifying the presence of the object further comprises determining if any of the mean or median values exceeds a peak value of the histogram by more than a specified threshold. 5. The method of claim 2 , further comprising setting a size for one or more of the image portions. 6. The method of claim 5 , wherein the size is set manually. 7. The method of claim 5 , wherein the size is set automatically using the processor. 8. The method of claim 1 , further comprising flattening the image in greyscale so that gradient variation across the image is reduced. 9. The method of claim 8 , wherein the act of flattening the image in greyscale comprises: sampling a set of points in the image; generating an uniform gradient image with uniform grayscale gradient which is the best-fit to the sampled set of points; and subtracting the uniform gradient image from the received image to generate an output image. 10. The method of claim 1 , further comprising excluding the object as a marker. 11. The method of claim 1 , wherein the act of receiving an image comprises receiving a sequence of images that includes the image, and the act of identifying the presence of the object is performed on a subset of the sequence of images. 12. An image processing apparatus for use in a medical procedure, comprising: a processor configured for: obtaining an image, wherein the image is generated using a camera, the image having marker images of markers and a background image, the markers being for determining a position associated with a patient; identifying presence of an object in the background image; and providing a signal for stopping the medical procedure if the presence of the object is identified, so that the object is prevented from being mistakenly used as a marker for determining the position; wherein the processor is further configured for setting a plurality of foreground pixels in the image that are to be excluded from detection to have a certain grayscale. 13. The apparatus of claim 12 , wherein the processor is configured for: dividing the image into a plurality of image portions arranged in a matrix; and determines a mean or median value of pixel values in each of the image portions. 14. The apparatus of claim 13 , wherein the processor is configured for determining a histogram using the determined mean or median values. 15. The apparatus of claim 14 , wherein the processor is configured for determining if any of the mean or median values exceeds a peak value of the histogram by more than a specified threshold. 16. The apparatus of claim 13 , wherein the processor is configured to obtain a size for one or more of the image portions. 17. The apparatus of claim 16 , wherein the processor is configured to obtain the size by receiving an input from a user that represents the size. 18. The apparatus of claim 16 , wherein the processor is configured to obtain the size by determining the size using an algorithm. 19. The apparatus of claim 12 , wherein the processor is further configured for flattening the image in greyscale so that gradient variation across the image is reduced. 20. The apparatus of claim 19 , wherein the processor is configured to perform the act of flattening the image in greyscale by: sampling a set of points in the image; generating an uniform gradient image with uniform grayscale gradient which is the best-fit to the sampled set of points; and subtracting the uniform gradient image from the received image to generate an output image. 21. The apparatus of claim 12 , wherein the processor is further configured to exclude the object as a marker. 22. The apparatus of claim 12 , wherein the processor is configured to receive a sequence of images that includes the image, and the processor is configured to perform the act of identifying the presence of the object on a subset of the sequence of images. 23. A computer product having a non-transitory medium storing a set of instructions, an execution of which causes an image processing method to be performed during a medical procedure, the method comprising: receiving an image, wherein the image is generated using a camera, the image having marker images of markers and a background image, the markers being for determining a position associated with a patient; identifying presence of an object in the background image; and providing a signal for stopping the medical procedure if the presence of the object is identified, so that the object is prevented from being mistakenly used as a marker for determining the position; wherein the method further comprises setting a plurality of foreground pixels in the image that are to be excluded from detection to have a certain grayscale.

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What does patent US9324152B2 cover?
A method, includes: obtaining an image, the image having marker images and a background image; identifying presence of an object in the background image using a processor; and providing a signal for stopping a procedure if the presence of the object is identified. An image processing apparatus, includes: a processor configured for: obtaining an image, the image having marker images and a backgr…
Who is the assignee on this patent?
Varian Med Sys Inc
What technology area does this patent fall under?
Primary CPC classification A61N5/1049. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Apr 26 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).