Blog reader Jonathan from St. Jude Children's Research Hospital sent me an image derived from an MRI peg phantom:bw =... 더 읽어보기 >>

23-Jun-2015 update: See the new Image Batch Processor App (added to R2015a) and my blog post about it. A couple of months ago I was working with a bunch of pictures I had taken at... 더 읽어보기 >>

Blog reader Ramiro Massol asked for advice on segmenting his cell images, so I gave it a try. I'm not a microscopy expert, though, and I invite readers who have better suggestions than... 더 읽어보기 >>

In a recent comment, blog reader Ramiro asks where I've been for the last couple of weeks. Well, I've been right here at my desk, working hard in advance of critical R2006b development deadlines.... 더 읽어보기 >>

I wrote previously that most spatial image transformation implementations use inverse mapping. The Image Processing Toolbox function imtransform is implementated using this technique. Here's... 더 읽어보기 >>

DSP Tips & Tricks One of my favorite professional publications is IEEE Signal Processing Magazine. It has a regular feature called "DSP Tips & Tricks." In the January... 더 읽어보기 >>

I wrote last week about the forward mapping method of spatially transforming images. Because of the disadvantages of the forward mapping method, most of the practical implementations use a... 더 읽어보기 >>

Note See the 09-Jan-2023 post for updated information about this topic, including a discussion of integral images and integral box filtering. The Image Processing Toolbox function... 더 읽어보기 >>

I've written previously about defining a spatial transform as a function, (x,y) = T{(u,v)}, that maps points from one space (input space) to another (output space). Given such a function, how do... 더 읽어보기 >>

A MATLAB user asked me how to determine which image pixels had local maxima that weren't unique. My answer involves a creative use of ordfilt2. Let's review first the concept... 더 읽어보기 >>