Image recognition system and training method therefor
AssigneeRealtek Semiconductor Corp.
InventorsWei-Hsiang Shen, Kai-Chun Su, Tsung-Hsuan Li, Chao-Hsun Yang, Shih-Tse Chen
Life of this patent
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Abstract
An image recognition system includes a color conversion module and a target recognition module. The color conversion module is configured to convert a gray-level image into a preset color image according to a conversion function. The target recognition module includes a machine learning algorithm, and the machine learning algorithm includes a plurality of functions and a plurality of parameters. The machine learning algorithm receives the preset color image, and outputs a recognition result according to the functions and the parameters, the recognition result including an existent target or a null target.
Claims12
An image recognition system, comprising:
- a color conversion module, configured to convert a gray-level image into a preset color image according to a conversion function, the gray-level image comprises a singular channel solely coded for a brightness information, and the conversion function is used for converting the brightness information of the gray-level image into a red color information, a green color information, and a blue color information;
- and
- a target recognition module, comprising a machine learning algorithm, wherein the machine learning algorithm comprises a plurality of functions and a plurality of parameters, the machine learning algorithm receives the preset color image, and outputs a recognition result according to the functions and the parameters, the recognition result comprising an existent target or a null target,
- wherein the gray-level image comprises brightness information, the conversion function is used for converting the brightness information into first color information, and the conversion function is:
- I
- R
- =
- f
-
- (
- W
- R
- ×
- I
- brightness
- +
- b
- R
- )
- I
- G
- =
- f
-
- (
- W
- G
- ×
- I
- brightness
- +
- b
- G
- )
- I
- B
- =
- f
-
- (
- W
- B
- ×
- I
- brightness
- +
- b
- B
- )
- I
- R
-
- G
-
- B
- =
- I
- R
- +
- I
- G
- +
- I
- B
- wherein Ibrightness is the brightness information, WR is a red weight, WG is a green weight, WB is a blue weight, bR is a red offset, bG is a green offset, bB is a blue offset, IR is the red color information, IG is the green color information, IB is the blue color information, IRGB is the first color information, and ƒ( ) is a limited output function, an output range of the limited output function being between a value 0 and a value 255, and
- wherein the red weight WR, the green weight WG, and the blue weight WB are 3, the red offset (bR) is 0, the green offset (bG) is −1×255, and the blue offset (bB) is −2×255.
Dependencies are inferred from the claim text.