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Dear Developers,

I am trying to scan working area in my Project, which is in form of chess board. In order to do it I have taken following steps as also mentioned in following website https://www.pyimagesearch.com/2014/09/01/build-kick-ass-mobile-document-scanner-just-5-minutes/

1. Detect Edges
2. Use the edges in the image to find the contour representing boundary of Workplace
3. Apply a perspective transform to obtain top-down view of the workplace

But result I am getting is in distorted form and it is due to noise in original picture I have taken from camera.

So, whether there is any way to remove noise in original picture due to camera so that I get undistorted output in the end.

By undistorted output I mean workplace in form of black and white boxes as we have in chess board.

For your consideration I am also attaching following things

a) Original image I have used for processing

b) Output image I get after complete processing

Please inform me if you need any other information.

Many thanks :) C:\fakepath\OutputImage.png

Dear Developers,

I am trying to scan working area in my Project, which is in form of chess board. In order to do it I have taken following steps as also mentioned in following website https://www.pyimagesearch.com/2014/09/01/build-kick-ass-mobile-document-scanner-just-5-minutes/

1. Detect Edges
2. Use the edges in the image to find the contour representing boundary of Workplace
3. Apply a perspective transform to obtain top-down view of the workplace

But result I am getting is in distorted form and it is due to noise in original picture I have taken from camera.

So, whether there is any way to remove noise in original picture due to camera so that I get undistorted output in the end.

By undistorted output I mean workplace in form of black and white boxes as we have in chess board.

For your consideration I am also attaching following things

a) Original image I have used for processing

b) Output image I get after complete processingprocessing

Please inform me if you need any other information.

Many thanks :) C:\fakepath\OutputImage.png:)

Dear Developers,

I am trying to scan working area in my Project, which is in form of chess board. In order to do it I have taken following steps as also mentioned in following website https://www.pyimagesearch.com/2014/09/01/build-kick-ass-mobile-document-scanner-just-5-minutes/

1. Detect Edges
2. Use the edges in the image to find the contour representing boundary of Workplace
3. Apply a perspective transform to obtain top-down view of the workplace

But result I am getting is in distorted form and it is due to noise in original picture I have taken from camera.

So, whether there is any way to remove noise in original picture due to camera so that I get undistorted output in the end.

By undistorted output I mean workplace in form of black and white boxes as we have in chess board.

For your consideration I am also attaching following things

a) Original image I have used for processing

C:\fakepath\OriginalPhoto.png b) Output image I get after complete processing

Please inform me if you need any other information.

Many thanks :)

Dear Developers,

I am trying to scan working area in my Project, which is in form of chess board. In order to do it I have taken following steps as also mentioned in following website https://www.pyimagesearch.com/2014/09/01/build-kick-ass-mobile-document-scanner-just-5-minutes/

1. Detect Edges
2. Use the edges in the image to find the contour representing boundary of Workplace
3. Apply a perspective transform to obtain top-down view of the workplace

But result I am getting is in distorted form and it is due to noise in original picture I have taken from camera.

So, whether there is any way to remove noise in original picture due to camera so that I get undistorted output in the end.

By undistorted output I mean workplace in form of black and white boxes as we have in chess board.

For your consideration I am also attaching following things

a) Original image I have used for processing

C:\fakepath\OriginalPhoto.png b) Output image I get after complete processing

Please inform me if you need any other information.

Many thanks :)