Hi folks. If you want to learn a bit about the many compression methods and file formats that all share the name JPEG, check out Jeff Mather's nice summary of the JPEG... 더 읽어보기 >>

Toward the end of last year, it occurred to me that I had accumulated enough material on this blog to construct a "master class" on image processing in MATLAB. The response to my... 더 읽어보기 >>

Happy New Year everyone! I just wrapped up a second year of blogging about image processing in MATLAB. I write once or twice a week about image processing algorithms, image processing... 더 읽어보기 >>

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 >>