Method of segmenting a radiographic image into diagnostically relevant and diagnostically irrelevant regions
First Claim
Patent Images
1. A method of segmenting a radiographic image into diagnostically relevant and diagnostically irrelevant regions comprising:
- acquiring a digital radiographic image including a matrix of rows and columns of pixels;
generating an initial background map using an initial background left point;
detecting a foreground map of said image using the initial background map;
regenerating a regenerated background map of said image;
validating the regenerated background map of said image;
merging the regenerated background map and foreground map of said image as diagnostically irrelevant regions; and
extracting an anatomy map of said image as the diagnostically relevant region.
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Abstract
A method of segmenting a radiographic image into diagnostically relevant and diagnostically irrelevant regions comprising: acquiring a digital radiographic image including a matrix of rows and columns of pixels; detecting the initial background left point of a histogram of the image; detecting the foreground of the image; regenerating the background of the image by region growing; validating the background of the image; merging the background and foreground regions of the image as diagnostically irrelevant regions; and extracting the anatomy region of the image as the diagnostically relevant region.
28 Citations
12 Claims
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1. A method of segmenting a radiographic image into diagnostically relevant and diagnostically irrelevant regions comprising:
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acquiring a digital radiographic image including a matrix of rows and columns of pixels; generating an initial background map using an initial background left point; detecting a foreground map of said image using the initial background map; regenerating a regenerated background map of said image; validating the regenerated background map of said image; merging the regenerated background map and foreground map of said image as diagnostically irrelevant regions; and extracting an anatomy map of said image as the diagnostically relevant region. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of segmenting a radiographic image into diagnostically relevant and diagnostically irrelevant regions comprising:
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acquiring a digital radiographic image including a matrix of rows and columns of pixels; detecting the initial background left point of a histogram of said image; detecting the foreground of said image; regenerating the background of said image by region growing; validating the background of said image; merging the background and foreground regions of said image as diagnostically irrelevant regions; and extracting the anatomy region of said image as the diagnostically relevant region; wherein said detecting the initial background left point includes; evaluating each row and column of image pixels for all rising and falling transitions for all candidate backgrounds to foreground (BF) and background to skinline (BS) transitions and record the transition range, transition width, the maximum transition slope and the transition high point; building transition range cumulative histogram and auto-selecting new transition range threshold; building a transition high point histogram and find a first estimate of a background left point; iteratively fine tuning the background left point; and verifying the background left point. - View Dependent Claims (12)
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Specification