Steve on Image Processing with MATLAB

Image processing concepts, algorithms, and MATLAB

Posts 11 - 20 of 21

다음에 대한 결과: Spatial transforms

Multidimensional interpolation with integer input 18

A customer asked me last week how to do multidimensional interpolation with integer inputs. The MATLAB function interpn supports only double- and single-precision inputs. It's possible to do... 더 읽어보기 >>

Spatial transformations: findbounds 12

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 >>

Spatial transformations: Where is the output image? 7

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 >>

Spatial transformations: Inverse mapping 19

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 >>

Spatial transformations: Forward mapping 11

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 >>

Spatial transformations: Useful toolbox documentation links 3

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 >>

Spatial transformations: Where is the input image? 23

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 >>

Spatial transformations: maketform, tformfwd, and tforminv 115

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 >>

Spatial transformations: Affine 23

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 >>

Spatial transformations: Terminology and notation 8

"Terminology and notation" - is there a more boring way to start a topic? Unfortunately it's necessary, because there is a lot of variation in terms and equations from book to book and paper to... 더 읽어보기 >>

Posts 11 - 20 of 21