Image processing method, image processing system, and imaging system

1. An image processing method comprising:

identifying a weak edge comprising a plurality of weak edge pixels and a strong edge comprising a plurality of strong edge pixels in an input image, said identifying step comprising calculating an absolute gradient value of each pixel in said input image, comparing said absolute gradient value of each pixel with a weak edge gradient range and a strong edge gradient range, identifying said weak edge pixels as pixels having absolute gradient values falling within said weak edge gradient range, and identifying said strong edge pixels as pixels having absolute gradient values falling within said strong edge gradient range;

filtering at least a part of said input image to obtain a smoothed image, during which said weak edge in said input image is filtered with a first filter and said strong edge in said input image is filtered with a second filter having a smoothness less than that of said first filter;

acquiring edge information of said input image based on said input image and said smoothed image; and

generating an output image based on said edge information and said smoothed image.

2. The method according to claim 1 , wherein said absolute gradient value is calculated based on a plurality of pixel value differences between said pixel and a plurality of adjacent pixels, and said absolute gradient value comprises a maximum, an average or a median among said pixel value differences.

3. An image processing method comprising:

identifying a weak edge comprising a plurality of weak edge pixels and a strong edge comprising a plurality of strong edge pixels in an input image;

filtering at least a part of said input image to obtain a smoothed image, during which said weak edge in said input image is filtered with a first filter and said strong edge in said input image is filtered with a second filter having a smoothness less than that of said first filter;

acquiring edge information of said input image based on said input image and said smoothed image; and

generating an output image based on said edge information and said smoothed image, wherein said second filter comprises a plurality of subfilters for filtering said plurality of strong edge pixels of said strong edge respectively, and a smoothness of each subfilter is in negative correlation with an absolute gradient value of the corresponding strong edge pixel.

4. The method according to claim 3 , wherein said first filter comprises a low pass filter.

5. The method according to claim 3 , wherein the first filter is a Gaussian filter.

6. An image processing method comprising:

identifying a weak edge comprising a plurality of weak edge pixels and a strong edge comprising a plurality of strong edge pixels in an input image;

filtering at least a part of said input image to obtain a smoothed image, during which said weak edge in said input image is filtered with a first filter and said strong edge in said input image is filtered with a second filter having a smoothness less than that of said first filter;

acquiring edge information of said input image based on said input image and said smoothed image;

identifying an ultra-strong edge comprising a plurality of ultra-strong edge pixels in said input image, during which said ultra-strong edge is filtered with a third filter having a smoothness less than that of said second filter; and

generating an output image based on said edge information and said smoothed image.

7. An image processing method comprising:

identifying a weak edge comprising a plurality of weak edge pixels and a strong edge comprising a plurality of strong edge pixels in an input image;

filtering at least a part of said input image to obtain a smoothed image, during which said weak edge in said input image is filtered with a first filter and said strong edge in said input image is filtered with a second filter having a smoothness less than that of said first filter;

acquiring edge information of said input image based on said input image and said smoothed image, said acquiring step comprising subtracting said smoothed image from said input image to obtain a difference image; and

generating an output image based on said edge information and said smoothed image, said generating step comprising multiplying said difference image with a scale factor to obtain an enhanced difference image and adding said enhanced difference image to said smoothed image.

8. An image processing apparatus comprising:

an edge identifying means for identifying a weak edge comprising a plurality of weak edge pixels and a strong edge comprising a plurality of strong edge pixels in an input image;

a filter for filtering at least a part of said input image to obtain a smoothed image, said filter comprising:

a first filter for filtering said weak edge in said input image; and

a second filter for filtering said strong edge in said input image, said second filter comprising a plurality of subfilters for filtering said plurality of strong edge pixels of said strong edge respectively, and a smoothness of each subfilter is in negative correlation with an absolute gradient value of the corresponding strong edge pixel;

an edge information acquiring means for acquiring edge information of said input image based on said input image and said smoothed image; and

an image compositing means for generating an output image based on said edge information and said smoothed image.

9. An imaging system comprising:

an X-ray source located at a first side of an object to be imaged;

a detector located at a second side of said object to be imaged to receive an X-ray emitted by said X-ray source that passes through said object to be imaged and generate an output signal;

a data collecting module for collecting said output signal of said detector to generate an input image; and

the image processing apparatus of claim 8 to process said input image.

10. The image processing apparatus of claim 8 , wherein a smoothness of said second filter is less than that of said first filter.