PyQtGraph – Normalize Image in Image View
In this article we will see how we can normalize image in the image view object in PyQTGraph. PyQtGraph is a graphics and user interface library for Python that provides functionality commonly required in designing and science applications. Its primary goals are to provide fast, interactive graphics for displaying data (plots, video, etc.). Widget used for display and analysis of image data. Implements many features like displaying 2D and 3D image data. For 3D data, a z-axis slider is displayed allowing the user to select which frame is displayed. Displays histogram of image data with movable region defining the dark/light levels, editable gradient provides a color lookup table, frame slider may also be moved using left/right arrow keys as well as pgup, pgdn, home, and end. In image processing, normalization is a process that changes the range of pixel intensity values. Applications include photographs with poor contrast due to glare, for example. Normalization is sometimes called contrast stretching or histogram stretching.
We can create a image view with the help of command given below.
# creating a pyqtgraph image view object imv = pg.ImageView()
In order to do this we use normalize method with the image view object
Syntax : imv.normalize(img)
Argument : It takes numpy ndarray as argument
Return : It returns numpy ndarray
Below is the implementation
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