One of the most significant MATLAB improvements in the R2011a release is in how certain kinds of array growth operations are handled. This is a kind of "under-the-hood" change that I... 더 읽어보기 >>

I just saw a very cool demo that I thought you might like. Teja Muppirala, an application engineer in our Japan office, created a tool that uses MATLAB, Image Processing Toolbox, Image... 더 읽어보기 >>

Some of you may have already noticed a new product in R2011a: Computer Vision System Toolbox. You may also have noticed that Video and Image Processing Blockset disappeared! These are not... 더 읽어보기 >>

I have posted a few times about using L*a*b* space to do color segmentation. (See, for example, my 04-Feb-2011 post.) For a different take on the idea, including a GUI tool for selecting a... 더 읽어보기 >>

This is my first post using R2011a, which shipped last week. (MathWorks ships product-line updates twice per year, usually in March and September.) There's a lot of interesting material to write... 더 읽어보기 >>

I'm terrible at predicting what kind of topic will generate a lot of comments. I was sure that last week's post on size esoterica would put most everyone to sleep. But no, it quickly gathered... 더 읽어보기 >>

Today's post is proof that this old MATLAB dog can learn new tricks. The subject is this: Given an image array, how can you most easily determine the number of rows and columns it has?... 더 읽어보기 >>

An academic colleague asked me recently how to read the sensor data (in Bayer or color filter array form) from a Nikon raw camera file (an NEF file) into MATLAB. We figured out a way to do it,... 더 읽어보기 >>

I started writing a post today about the ConvexImage property returned by regionprops. But I got sidetracked along the way, and this post turned into a description of how to overlay a pixel grid... 더 읽어보기 >>

I'm back to looking at M&Ms today. (Previous posts: 17-Dec-2010, 23-Dec-2010, 30-Dec-2010, 11-Jan-2011) url = 'https://blogs.mathworks.com/images/steve/2010/mms.jpg'; rgb =... 더 읽어보기 >>