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 >>
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Steve on Image Processing with MATLAB has been archived and will not be updated.
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 >>
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 >>