Jul 2, 2013 — Meyer Watershed Segmentation — Imagine that the pixel intensities of an image form a landscape, with lower values (closer to zero, corresponding to black) forming valleys, and higher values (closer to 1, white) forming mountains.  Our image isn’t an image, in fact, it is... Read more

Jul 2, 2013 — Median Filtering — Median filtering is another filtering technique similar to convolution in that we define a small window ( an nxn square smaller than our image) to move across it, and based on the pixels that fall within that window, we define... Read more

Jul 2, 2013 — Convolution — I remember in my first image processing course, the instructors threw around the term convolution like flying latkes in this video.  It definitely happens a lot when you are new to a field that people (professors) make assumptions about the jargon of... Read more

Jul 2, 2013 — Elastic Net: Flexible Regularization for Linear Regression — As a reminder, a regularization technique applied to linear regression helps us to select the most relevant features, x, to predict an outcome y.  For now, see my post about LASSO for more details about regularization.  Both LASSO and elastic net,... Read more