Methods and apparatus for noise reduction filtering of images
First Claim
Patent Images
1. A method for reducing noise in images, said method comprising:
- acquiring a single original image using an electron beam computed tomographic scanner;
generating original image data associated with an input of the single original image;
generating segmentation mask data from the single original image and a single threshold, the segmentation mask data representing a segmentation mask of structural portions and non-structural portions in the single original image;
generating filtered image data from the segmentation mask data by scaling intensity values and using a connectivity approach, the filtered image data representing a filtered image;
defining a first blending parameter for the structural portions in the filtered image and a second blending parameter for the non-structural portions in the filtered image, the first blending parameter different than the second blending parameter;
generating blended image data from the filtered image data, the original image data, the segmentation mask data, and the blending parameters for; and
contrast matching the blended image data with the original image data to produce output image data, the output image data representing a single processed image.
1 Assignment
0 Petitions
Accused Products
Abstract
A method for reducing noise in images includes utilizing an original image to generate a segmentation mask and a filtered image, and utilizing the filtered image, the original image, the segmentation mask and separate blending parameters for structural and nonstructural portions of the filtered image to generate a blended image. The method further includes contrast matching the blended image with the original image to produce an output image.
-
Citations
34 Claims
-
1. A method for reducing noise in images, said method comprising:
-
acquiring a single original image using an electron beam computed tomographic scanner; generating original image data associated with an input of the single original image; generating segmentation mask data from the single original image and a single threshold, the segmentation mask data representing a segmentation mask of structural portions and non-structural portions in the single original image; generating filtered image data from the segmentation mask data by scaling intensity values and using a connectivity approach, the filtered image data representing a filtered image; defining a first blending parameter for the structural portions in the filtered image and a second blending parameter for the non-structural portions in the filtered image, the first blending parameter different than the second blending parameter; generating blended image data from the filtered image data, the original image data, the segmentation mask data, and the blending parameters for; and contrast matching the blended image data with the original image data to produce output image data, the output image data representing a single processed image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. An apparatus for reducing noise in images, said apparatus comprising a computer configured to:
-
acquire a single original image using an electron beam computed tomographic scanner; generate original image data associated with an input of the single original image; generate segmentation mask data from the single original image and a single threshold, the segmentation mask data representing a segmentation mask of structural portions and non-structural portions of the single original image; generating filtered image data from the segmentation mask data by scaling intensity values and using a connectivity approach, the filtered image data representing a filtered image; define a first blending parameter for the structural portions in the filtered image and a second blending parameter for the non-structural portions in the filtered image, the first blending parameter different than the second blending parameter;
,generate blended image data from the filtered image data, the original image data, the segmentation mask data, and the blending parameters; and contrast match the blended image data with the original image data to produce output image data. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
-
-
19. A non-transitory machine readable medium comprising instructions recorded thereon, said instructions configured to instruct a computer to:
- generate original image data associated with an input of a single original image;
generate segmentation mask from the single original image and a single threshold, the segmentation mask data representing a segmentation mask of structural portions and non-structural portions of the single original image;
generate filtered image data from the segmentation mask data by scaling intensity values and using a connectivity approach, the filtered image data representing a filtered image;
define a first blending parameter for the structural portions in the filtered image and a second blending parameter for the non-structural portions in the filtered image, the first blending parameter different than the second blending parameter;
generate blended image data from the filtered image data, the original image data, the segmentation mask data, and blending parameters; and
contrast match the blended image data with the original image data to produce output image data. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26)
- generate original image data associated with an input of a single original image;
-
27. An electron beam computed tomographic (EBCT) scanner comprising:
-
a vacuum chamber; an electron gun configured to produce an electron beam that passes through said vacuum chamber; an assembly of targets; a focusing and scanning system configured to focus the electron beam so that it impinges upon at least one target in said assembly of targets and to produce an X-ray beam; an assembly of detectors configured to detect the produced X-ray beam that pass through an object and to produce a digitized intensity distribution of the detected X-ray beam that is representative of a single original image of the object; and a data processing system configured to receive and process the single original image of the object, said data processing system further configured to; generate original image data associated with the single original image produced using said EBCT scanner; generate segmentation mask data from the single original image and a single threshold, the segmentation mask data representing a segmentation mask of structural portions and non-structural portions of the single original image; generate filtered image data from the segmentation mask data by scaling intensity values and using a connectivity approach, the filtered image data representing a filtered image; define a first blending parameter for the structural portions in the filtered image and a second blending parameter for the non-structural portions in the filtered image, the first blending parameter different than the second blending parameter; generate blended image data from the filtered image data, the original image data, the segmentation mask data, and blending parameters; and contrast match the blended image data with the original image data to produce output image data. - View Dependent Claims (28, 29, 30, 31, 32, 33, 34)
-
Specification