I've written previously about how imtransform uses inverse mapping to compute the input-space location corresponding to each output pixel. I've also written about how imtransform uses the... 更多内容 >>

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... 更多内容 >>

At the European Colour in Graphics, Imaging, and Vision conference today, I took a tutorial called "Transforms for Colour and Spectral Reproduction." Mitch Rosen of the Munsell Color Science ... 更多内容 >>

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... 更多内容 >>

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

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... 更多内容 >>

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... 更多内容 >>

In my previous postings on this topic, I've discussed the basic image display models in MATLAB - truecolor and indexed. The Image Processing Toolbox has conventions for two additional image... 更多内容 >>

Note For new or updated information about this topic, see: How to Overlay a Color on an Image Using a Mask (03-Dec-2019) Contents Image Overlay ... 更多内容 >>

Note See the 17-Jun-2021 post for new or updated information about this topic. Last time, in my spatial transformations series, I introduced the head-and-shoulders outline that I like... 更多内容 >>