Crop/snip part (without opening the image) of a image with definition by a pixel line

Crop/Snip Part (without Opening the Image) of an Image
with Definition by a Pixel Line
- Python for Integrated Circuits -
- An Online Book -

Python for Integrated Circuits http://www.globalsino.com/ICs/

Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix

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Crop/snip part of a image with definition by a pixel line. Code:
          Automatically Review, Scroll, Click Webpage and Its Link
Input:

Output:


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Crop the largest portion with non-zero pixel values from an image. Code:
          Automatically Review, Scroll, Click Webpage and Its Link
Input:

Output:

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Crop a part of an image (the "white" portion added is transparent in the image. The output image with overlap is not good, refer to page4348). Code:
          Automatically Review, Scroll, Click Webpage and Its Link
Input:

Output:

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AAA Crop a part of an image with exception. Code:

Output:

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AAA Crop a part of an image. Code:
          Automatically Review, Scroll, Click Webpage and Its Link
Input:

Output:

In the code above, (image[y:h, x:w]" is a method of array slicing specific to the OpenCV library in Python. It's used to extract a sub-region from the original image defined by coordinates and dimensions:

"y" and "x" are the starting coordinates for the top-left corner of the sub-region.
"h" and "w" represent the height and width of the sub-region, respectively.

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AAA for image overlap (refer to page4348). Crop an image using image shifts. code:
          Snipping tool: take a screen shot from the full screen
    Input:

    Output:

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AAA for image overlap (refer to page4348). Create a ROI. code:
          Split a list into multiple columns with "pd.Series"
Input:

Output:

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