Digital Image Processing

Catalog description

This class will provide an introduction to digital image processing, beginning with a discussion of imaging systems and storage of digital images then progressing to image filtering, segmentation, correlations, and applications in mechanical and aerospace engineering. Basic image manipulation including subtraction, addition, dilation, and smoothing will be covered using binary images. Grayscale images will then be used to discuss histogram manipulation, edge detection routines, and filtering, including Fourier-based techniques. Image correlation will be covered, including its applications for fluid-dynamic measurement systems like Particle Image Velocimetry (PIV) and Digital Image Correlation (DIC). Color theory will be presented including conversion of images between color schemes including RGB and HSI. Additional applications for machine vision and scene reconstruction will be discussed. The course will use MATLAB to perform all image manipulations; all students are expected to have working knowledge of MATLAB and undergraduate-level programming skills