Path to mathematics-python computing practice (13)-machine vision-Image Enhancement-python practice

Path to mathematics-python computing practice (13)-machine vision-Image Enhancement-python practice

The basic expression of exponential transformation is y = bc (x-a)-1.

ParametersB,CControl curve transformation shape, ParametersAThe position of the control curve.

Exponential transformation is used to expand the image's high gray level and reduce the low gray level. It can be used for images with high brightness.



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Changes the sun image so that the low brightness area (the lower temperature area) is no longer displayed, highlighting the brightness area (the higher temperature area ).

Newimg = np. array (np. power (B, c * (img-a)-1, np. uint8) cv2.imshow ('src', img) cv2.imshow ('dst ', newimg) cv2.waitKey () cv2.destroyAllWindows ()

Has anyone ever used mathematical image processing and Machine Vision Visual C ++ and matlab? The program result in Chapter 1 is incorrect.

If the user name and password are successfully verified, create a session ("name") = User Name
Welcome Page after jump ("page "))
On the welcome page, <% = meeting ("name") %>

[Professional Research] image processing, computer vision technology, and other research areas related to art? Very high in mathematics?

You are wrong ~~~
The majors you listed have high requirements on mathematics,
The most basic calculus is made, and linear algebra, probability statistics, and algorithms are widely used.