The MathWorks released a new product line update last week. The new release is called R2006a, thus marking the end for releases named R12, R13, R14, etc. Some of you may have noticed that... 더 읽어보기 >>

MATLAB user Paul contacted me recently to ask how to convert 150dpi JPEGs to 300dpi TIFFs. After I asked for more information, he explained that he was working with a publisher who expected all... 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 >>

Note See the following posts for new or updated information about this topic: MATLAB image display - from data values to pixel colors MATLAB image display - truecolor and indexed... 더 읽어보기 >>

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... 더 읽어보기 >>

Note See the following posts for new or updated information about this topic: MATLAB image display - from data values to pixel colors MATLAB image display - truecolor and indexed... 더 읽어보기 >>

I learned something interesting this week in conversations with MATLAB users. By e-mail and phone I talked with two people who have been reading posts in this blog. Both have the Image Processing... 더 읽어보기 >>

Several Image Processing Toolbox functions related to spatial transformations use "tform" structures. A tform structure has data and function handles needed for applying a... 더 읽어보기 >>

Note See the following posts for new or updated information about this topic: MATLAB image display - from data values to pixel colors MATLAB image display - truecolor and indexed... 더 읽어보기 >>

To explore spatial transformations of images, we need a simple, nontrivial, and useful transformation. The affine transformation fits the bill. Here's the basic affine... 더 읽어보기 >>