Image processing method

• US 20040156556A1
• Filed: 10/27/2003
• Published: 08/12/2004
• Est. Priority Date: 04/25/2001
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Lopez, Javier Olivan
• Application Number:
  US10/476,067
• Publication Number:
  US 20040156556A1
• Time in Patent Office: Days
• US Class Current: 382/276
• CPC Class Codes: G06T 3/18 Image warping, e.g. rearranging pixels individually

Abstract

The invention relates to an image processing method for optically displaying information and/or signals, whereby a source image (10) is transformed into a target image (10″) that is distorted or deformed in relation to the source image. According to the invention, a deformation vector (11), which determines a deformation direction, is defined in the source image (10) and a respective corresponding co-ordinate position is determined in the target image for each image pixel of the source image (10) according to a functional transformation rule that is dependent on said deformation vector (11) and to a scaling factor (31) that takes into consideration the position of each image pixel in relation to the deformation vector (11). Preferably, the scaling factor (31) has an elliptical functional form.

Claims

1. Image processing method for visually displaying information and/or signals, a source image being transformed into a distorted or warped target image,

characterized in that a deformation vector (11) which determines a deformation direction is defined within the source image (10) and a corresponding coordinate position is determined in the target image (10″

) for each pixel of the source image (10) according to a transformation rule (23) that is functionally dependent on said deformation vector (11) and on a scaling factor (31) that takes account of the position of each pixel in relation to the deformation vector (11).

2. Image processing method according to claim 1,

characterized in that an essentially elliptical function curve is assigned to the scaling factor (31) in such a way that the deformation vector (11) extends approximately between the foci (43, 43′

) of the elliptical function curve.

3. Image processing method according to claim 1 or 2,

characterized in that the assigned scaling factor value (31) is determined for each source image pixel (10), said scaling factor (31) being essentially dependent, on the one hand, on the sum S=A₀+A₁ of the distance A₀ of the relevant image pixel (x, y) from the deformation vector starting point (11′

) designated by the coordinates (x₀, y₀) and the distance A₁ of the relevant image pixel from the deformation vector end point (11″

) designated by the coordinates (x₁, y₁) and, on the other hand, on the length L of the deformation vector (11).

4. Image processing method according to claim 3,

characterized in that the assigned value of the scaling factor (31) is determined according to 1−

((S−

α

L)/(α

L)) for each pixel of the source image (10), α

being an adjustable constant, and if the value determined is greater than zero, this positive value is assigned to the relevant pixel, whereas, if not, the value of the scaling factor (31) is set to zero for this pixel.

5. Image processing method according to one of claims 2 to 4,

characterized in that the relevant pixels of the target image (10″

) are determined from coordinate summation of the corresponding pixels of the source image (10) with the coordinate-formed product of the scaling factor (31) determined and the deformation vector (11).

6. Image processing method according to one of claims 2 to 5,

characterized in that the relations A₀=((x−

x₀)²+(y−

y₀)²)^1/2 and A₁=((x−

x₁)²+(y−

y₁)^2)1/2 are respectively defined as the distance A₀ of the relevant image pixel (x, y) from the starting point (11′

), designated by the coordinates (x₀, y₀), of the deformation vector (11) and as the distance A₁ of the relevant pixel from its end point (11) designated by the coordinates (x₁, y₁).

7. Image processing method according to one of claims 1 to 6,

characterized in that the length of the deformation vector (11) is calculated according to the relation L=((x₁−

x₀)²+(y₁−

y₀)²)^1/2.

8. Method according to one of claims 1 to 7, characterized in that voids occurring in the target image (10″

) because of the transformation are filled in with newly generated pixels by interpolating corresponding color density values for the newly generated pixels from the relevant color density values of adjacently disposed pixels.

9. Arrangement for performing the image processing method particularly according to one of claims 1 to 8, characterized in that a deformation vector (11) which determines a deformation direction can be defined within the source image (10) and a corresponding coordinate position can be determined in the target image (10″

) for each pixel of the source image (10) according to a transformation rule (23) that is functionally dependent on said deformation vector (11) and on a scaling factor (31) that takes account of the position of each pixel in relation to the deformation vector (11).

10. Arrangement according to claim 9, characterized in that the scaling factor (31) has an essentially elliptical function curve, the deformation vector (11) extending approximately between the foci (43, 43′

) of the elliptical function curve.