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image process of chessboard

I am calibrate a C-arm X-ray image system use chessboard. Because of bad image quality, the image I got looks dark. Image attended below:

image description

In order to get good concern extraction performance, I want process it to look like original format. The original format attended below:

image description

Any suggestions will be appreciated!!

image process of chessboard

I am calibrate a C-arm X-ray image system use chessboard. Because of bad image quality, the image I got looks dark. Image attended below:

image description

In order to get good concern extraction performance, I want process it to look like original format. The original format attended below:

image description

Any suggestions will be appreciated!!

image process of chessboard

I am calibrate a use C-arm X-ray machine. Right now, there are still distortion on image system (see edge), considering calibrate it as pinhole camera model. So I use chessboard. Because common opencv method to calibrate it(corner extraction...) to get Intrinsic Parameters and so on. The problem I want to figure it here: I know the "dark image" is inherent character of X-ray image. But pixel value differentiation between black and white grid is only about 10, and the edge area are too black. It will bad image quality, effect the image I got looks dark. Image attended below:extraction performance

image description

In order to get good concern extraction performance, I want process it to look like original format. The original format attended below:

image description

Any suggestions will be appreciated!!

image process of chessboard

I am use C-arm X-ray machine. Right now, there are still distortion on image (see edge), considering calibrate it as pinhole camera model. So I use common opencv method to calibrate it(corner extraction...) to get Intrinsic Parameters and so on. The problem I want to figure it here: I know the "dark image" is inherent character of X-ray image. But pixel value differentiation between black and white grid is only about 10, and the edge area are too black. It will bad effect the extraction performance

image description

In order to get good concern extraction performance, I want process it to look like original format. The original format attended below:

image description

Any suggestions will be appreciated!!