image-processing-application

An image processing application with python language

Arithmetic and logical operations between images

• Sum of images
• Add noise, merge images,...
• Subtraction of images
• Background elimination, time derivation,...
• Point to point averaging of images
• Noise reduction
• Point to point product
• Convolution (smoothing, derivation,...)
• Thresholding

Low pass filters

• Averaging filter

• Gaussian filter

• Pascal's triangle

• Other filters

• Average versus median

• Median filter

• Adaptive filter

High-pass filters

• Mathematical operators
• Detection mask
• Gradient
• Laplacian
• Kirsch
• Marr-Hildreth
• Marr-Hildreth versus sobel

Frequency filtering

• An image can be represented by a 2D signal
• Its Fourier transform gives the intensity as a function of function of the frequency
• We can apply low-pass and high-pass filters on the image the image to bring out certain ranges of frequencies
• 

point of interest and corner

• Susan
• Harris

if you have any questions or remarks, do not hesitate to contact me.

here is my email [email protected]