Have you ever used the distance transform? For a binary image, the distance transform is the distance from every pixel to the nearest foreground (nonzero) pixel. (Sometimes you'll see... 더 읽어보기 >>

How can I possibly resist the opportunity to post about something called METACOW? The Munsell Color Science Laboratory at the Rochester Institute of Technology (RIT) has made available... 더 읽어보기 >>

The book Matrix Computations by Gene Golub and Charles Van Loan sits on the bookshelves of many MathWorks employees. Professor Golub, one of the founding members of the Stanford University... 더 읽어보기 >>

Earlier this year I exchanged e-mail with blog reader Craig Doolittle. Craig was writing MATLAB scripts to clean up scanned pages from old manuscripts. One of the samples he sent me was... 더 읽어보기 >>

Doug posted a recorded GUI debugging session on his Pick of the Week blog. If you want to pick up some GUI programming and debugging techniques from an expert, it's definitely worth a... 더 읽어보기 >>

The notion of neighbor connectivity is discussed in most image processing textbooks. Specifically, what is the set of neighbors of a pixel? For example, a commonly-used neighborhood... 더 읽어보기 >>

In image processing textbooks, you often see low-level image processing operations grouped into two categories: Point processes Neighborhood processes In a point process, the... 더 읽어보기 >>

When I started this blog in early 2006, one of my first series of articles was called "All About Pixel Colors." These articles discussed how MATLAB associates matrix values with specific screen... 더 읽어보기 >>

I'd like to welcome back guest blogger Stan Reeves, professor of Electrical and Computer Engineering at Auburn University. Stan will be writing a few blogs here about image... 더 읽어보기 >>

Note added July 30, 2008: See this post for an update. In September I wrote about customer-reported speed issues related to TIFF files containing a very large number (thousands or tens of... 더 읽어보기 >>