# Steve on Image Processing with MATLABImage processing concepts, algorithms, and MATLAB

Posts 11 - 20 of 21

# Multidimensional interpolation with integer input18

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... 更多内容 >>

# Spatial transformations: findbounds12

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 >>

# 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... 更多内容 >>

# Spatial transformations: Inverse mapping19

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... 更多内容 >>

# Spatial transformations: Forward mapping11

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... 更多内容 >>

# Spatial transformations: Useful toolbox documentation links3

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... 更多内容 >>

# 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. ... 更多内容 >>

# Spatial transformations: maketform, tformfwd, and tforminv115

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

# Spatial transformations: Affine23

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... 更多内容 >>

# Spatial transformations: Terminology and notation8

"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... 更多内容 >>

Posts 11 - 20 of 21