Basic Conceptual Operations in Images

Second-order differential filter - Laplacian operator
First-order differential filter - gradient operator
Laplacian operator



From the perspective of Laplacian operator, the number in the middle of the template is very large, the purpose is to make the image Enhanced
Function : image enhancement, highlighting details, but will cause a certain amount of noise
to calibrate the image (limit the image between [0-K])
　$f_m=f-min(f)$
　$f_s=k[f_m/max(f_m)]$
　gradient operator
　
　
　

　

　

　

　

Function:
Detect product defects and make edge defects clearly visible Pattern shadows
that will not change or change slowly are removed, simplifying the computational tasks required for automatic detection
Used to highlight invisible small spots in grayscale images
Highlight edges