filnow / tinygimp

project for image processing class

About project

Project in corroboration with Sheaza for image processing class on UAM.

The goal is to create a simple window application with all essential algorithms from a program like GIMP.

Milestones

• Creating a app to load, save and display images with extensions like ppm,pgm,pbm and others stored equally in ASCII and in byte code

• Adding the following features for images: desaturation, negative, contrast, brightness, saturation, sum, subtraction, multiplication, monochrome transformations

• Generating, stretching and equalizing a histogram of a image both in grayscale and in RGB

• Creating a class that allows to define custom convolution mask, adding filters: uniform blur, gaussian blur, sharpen, Sobel, Previtt, Roberts, Laplacian, LoG

• Implementation of Canny algorithm with interface

• Implementation of Hough transformation with slider interface for setting the threshold

• Implementation of Harris algorithm for corner detection along with the thresholding interface

• Implementation of watershed segmentation by embedding using the Vincent-Soille algorithm

• Morphological operations: dilation, erosion, hit and miss, bold, rub