overview

My program takes an input image, which is typically a digital image represented as a rectangular grid of pixels. Each pixel contains RGB values which I store into an array to perform basic filter operations on. Once a filter operation is applied to the pixels in the image, the modified image is stored as a separate specified output image.

supported features

Currently, I support the following filter operations…

• canny-edge-detect
• double-threshold
• gaussian-blur
• greyscale
• hysteresis
• invert
• mean-blur
• non-max
• purplescale
• sharpening
• sobel
• solarization
• threshold
• threshold-low
• threshold-high

The first option, canny-edge-detect actually chains greyscale, gaussian-blur, sobel, non-max, double-threshold, and hysteresis together. This provides a useful representation of the object boundaries and structural information within the image.

example

source

You can find my repo at https://github.com/fmgornick/image-processor