Method for extracting raw data from an image resulting from a camera shot
First Claim
1. Method for extracting raw data from an image resulting from a camera shot, said method comprising:
- determining, for each point located by column C and line L of the image, a value V0[C, L] consisting of a combination of colour components of the image, calculating, for each point of the image, a threshold value VBack.(C, L) calculating for each point of the image, the difference D[C, L] D[C, L]=VBack.−
V0[C, L] (dark data/bright background) or V0[C, L]−
VBack. (bright data/dark background) calculating a threshold value VS consisting of a noise contextual datum used for correcting the extracted raw data D[C, L], from at least one contrast histogram and/or from the probability q that a regional maximum of the raw data contains noise correcting the raw data D[D, L] by means of the noise contextual datum VS, resulting in the extracted data D*[C, L]calculating, for each point of the image, a corrected value I*[C, L] taking into account the corrected raw datum D*[C, L]optionally presenting the extracted data or the image which contains them under a desired angle.
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Abstract
The method according the invention allows the extracting raw data from an image resulting from a camera shot.
It comprises determining, for each point of the image of a combination V0[C,L] of colour components of the image, calculating, for each point of the image, of a value VN+1[C,L], iterating said calculating a predetermined number of times then taking into account the values of the final image VNfinal [C, L] in each point of the image, calculating for each point of the image of the difference D [C, L]=VNfinal [C, L]−V0 [C, L], calculating of a noise contextual datum VS, correcting the extracted raw data D[C, L], with the contextual datum VS, calculating of a corrected value I*[C, L] taking into D*[C, L] and presenting the extracted data under a desired angle.
41 Citations
41 Claims
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1. Method for extracting raw data from an image resulting from a camera shot, said method comprising:
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determining, for each point located by column C and line L of the image, a value V0[C, L] consisting of a combination of colour components of the image, calculating, for each point of the image, a threshold value VBack.(C, L) calculating for each point of the image, the difference D[C, L] D[C, L]=VBack.−
V0[C, L] (dark data/bright background)or V0[C, L]−
VBack. (bright data/dark background)calculating a threshold value VS consisting of a noise contextual datum used for correcting the extracted raw data D[C, L], from at least one contrast histogram and/or from the probability q that a regional maximum of the raw data contains noise correcting the raw data D[D, L] by means of the noise contextual datum VS, resulting in the extracted data D*[C, L] calculating, for each point of the image, a corrected value I*[C, L] taking into account the corrected raw datum D*[C, L] optionally presenting the extracted data or the image which contains them under a desired angle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41)
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27. The method according to the claim, wherein, in the phase for calculating the final image, the images are precalculated by inverse homography of the lines and columns of the ideal mask, and in that the position of a given pixel in the initial image is then inferred by calculating the intersection of two lines.
Specification