My blog has a rule, which I just now made up, that my second post during the month of September has to be totally off topic. So you've been warned! OK, you're still reading, so I... 続きを読む >>

Post updated on September 4 based on feedback from Cris Luengo's comment. Today I'm starting a new series covering some of the concepts underlying algorithms for performing morphological... 続きを読む >>

Transparent graphics objects can be used effectively to visualize image processing concepts. Two particularly useful techniques are: Highlighting image... 続きを読む >>

A MATLAB user recently asked in the MATLAB newsgroup how to fill "small" holes in a binary image. The function imfill can be used to fill all holes, but this user only wanted to fill holes... 続きを読む >>

Last fall I wrote about a complaint some MATLAB users had about reading certain kinds of TIFF files. Specifically, some users have TIFF files that each contain tens of thousands of images—or... 続きを読む >>

I'd like to welcome back guest blogger Stan Reeves, professor of Electrical and Computer Engineering at Auburn University, for another in his series of posts on image... 続きを読む >>

Today I want to show you a morphological operation called "opening by reconstruction." The normal morphological opening is an erosion followed by a dilation. The erosion "shrinks" an image... 続きを読む >>

Some nonlinear image processing operations can be expressed in terms of linear filtering. When this is true, it often provides a recipe for a speedy MATLAB implementation.... 続きを読む >>

Today I want to demonstrate a useful technique to produce a false-color visualization of different sets of binary image objects. Here's the sample image that we'll use: url =... 続きを読む >>

Here's a very common question we receive: "How do I process a set of image files in a directory?" I first posted an example illustrating "batch processing" of a set... 続きを読む >>