I thought I would finish my discussion of applylut and makelut by describing a performance optimization we implemented for version 6 (R2007b) of the Image Processing Toolbox.
A couple of years ago,... 더 읽어보기 >>

The June 2008 issue of Scientific American contains the article "Digital Image Forensics," by Hany Farid, Professor and Associate Chair of Computer Science at Dartmouth College. Professor Farid... 더 읽어보기 >>

Congratulations to the Phoenix team for a successful landing and deployment on Mars! Mission leadership: University of Arizona, Tucson Mission project management: NASA Jet Propulsion... 더 읽어보기 >>

This is the third post about using lookup tables to process binary images. The first two posts were: Introduction Basic... 더 읽어보기 >>

This is the second in a short series on using lookup tables for binary image neighborhood operations. See the first post for the basic idea. The Image Processing Toolbox has two... 더 읽어보기 >>

Over the past few years I've been fascinated to see the progress in making text look better on the screen. (I should confess right away that I know nothing about typography, and almost nothing... 더 읽어보기 >>

Today I'm introducing a short series about using lookup tables to implement neighborhood operations in binary images. This is a fast implementation technique that works for small... 더 읽어보기 >>

I often find myself writing small functions that help visualize certain image processing algorithms. For example, my last three posts on bwlabel included identical snippets of code that... 더 읽어보기 >>

Several questions I've seen about bwlabel are about finding the correspondences between object labels in two images. In other words, if a particular pixel is in the foreground in two... 더 읽어보기 >>

The three most common questions I've been hearing about bwlabel, which is used for labeling connected components in a binary image, are about Search order ... 더 읽어보기 >>