Python Automation and Machine Learning for EM and ICs

Smooth images (make image blurry): code:          
         
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This code enhances high-brightness features in a noisy grayscale image by first applying a Gaussian blur to reduce random noise and then thresholding the blurred image to create a binary mask that isolates bright regions (above a specified intensity threshold). The mask is applied to the original image using a bitwise AND operation to retain the original intensities of the bright areas while suppressing the rest. The result is saved and optionally displayed alongside the original image for visual comparison, providing a simple yet effective method for highlighting prominent features in noisy scientific images.