Image Processing in Frequency Space

This lecture covers the basics of Fourier Transform, including the construction of functions as a series of sine and cosine terms, the relationship between spatial and Fourier domain images, and the process of frequency filtering. It also delves into inverse Fourier Transform, frequency domain image manipulation, segmentation techniques like thresholding, and particle size estimation using image analysis. The lecture concludes with practical examples of grain size estimation and measurements in images, emphasizing the importance of software tools like ImageJ for scientific image analysis.