Blog reader Ram asked a question last week that I hear fairly often: When you apply a spatial transformation to an image, how can you see the x-y coordinates when you display the image? ... 더 읽어보기 >>

Thanks to Kimo Johnson and Perttu Ranta-aho for responding to my custom spatial transformation challenge. Contents Kimo's submission ... 더 읽어보기 >>

Blog reader Stephen N., who's been following my posts about spatial transformations, asked me last week how to rotate a three-dimensional image. ... 더 읽어보기 >>

Were you intrigued by the custom spatial transformations I showed last week? Here's a challenge for you: Create a sample image transformation that is in some way creative, interesting, or just... 더 읽어보기 >>

Blog reader David A. asked me a while back about how to transform an image based on some mathematical function. For example, the online paper "Visualizing complex analytic functions... 더 읽어보기 >>

The function imtransform has several optional parameters that allow you to fine-tune its behavior. Today's topic is about the parameters that let you control where the input... 더 읽어보기 >>

The last time I wrote about spatial transformations, I explained that imtransform uses the function findbounds to locate the transformed image in output space. By default, imtransform computes... 더 읽어보기 >>

I've written previously about how Image Processing Toolbox uses inverse mapping to implement spatial transforms. In this method, you set up a grid in output space. For each pixel in the... 더 읽어보기 >>

I've received some comments and e-mail asking how to apply the spatial transformation ideas I've been writing about to images. When I started this series, I naively assumed that Image Processing... 더 읽어보기 >>

We've talked about using Image Processing Toolbox functions to define an affine transformation and apply it to points. Let's begin to explore transforming images. ... 더 읽어보기 >>