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常见几何变换

使用 imwarp 工作流执行常见几何变换

几何变换将输出图像中的像素坐标映射到输入图像中的坐标。然后，映射过程根据输入图像对输出像素进行插值。

使用这些函数可执行一般的二维、三维和 N 维几何变换。要执行二维或三维几何变换，请首先创建一个几何变换对象，用来存储变换信息。然后，将要变换的图像和几何变换对象传递给 imwarp 函数。

函数

`imwarp`	Apply geometric transformation to image
`affineOutputView`	Create output view for warping images
`fitgeotrans`	对控制点对组进行几何变换拟合
`findbounds`	Find output bounds for spatial transformation
`fliptform`	Flip input and output roles of spatial transformation structure
`makeresampler`	Create resampling structure
`maketform`	Create spatial transformation structure (`TFORM`)
`tformarray`	Apply spatial transformation to N-D array
`tformfwd`	Apply forward spatial transformation
`tforminv`	Apply inverse spatial transformation

对象

全部展开

图像变形对象

Warper Apply same geometric transformation to many images efficiently

空间参照对象

`imref2d`	Reference 2-D image to world coordinates
`imref3d`	Reference 3-D image to world coordinates

转换对象

`affine2d`	二维仿射几何变换
`affine3d`	3-D affine geometric transformation
`projective2d`	2-D projective geometric transformation
`geometricTransform2d`	2-D geometric transformation object
`geometricTransform3d`	3-D geometric transformation object
`PiecewiseLinearTransformation2D`	2-D piecewise linear geometric transformation
`PolynomialTransformation2D`	2-D polynomial geometric transformation
`LocalWeightedMeanTransformation2D`	2-D local weighted mean geometric transformation

主题

几何变换

2-D and 3-D Geometric Transformation Process Overview

To perform a general geometric transformation of a 2-D or 3-D image, first define the parameters of the transformation, then warp the image.

几何变换的矩阵表示

仿射变换和投影变换以矩阵表示。您可以使用矩阵运算来执行图像的全局变换。

N-Dimensional Spatial Transformations

You can create custom geometric transformations to process images of arbitrary dimension, or to change the dimensionality of the output image from the input image.

Specify Fill Values in Geometric Transformation Output

This example shows how to specify the color of blank space in the image after a geometric transformation.

空间参照

图像坐标系

了解如何使用像素索引和空间坐标来表示图像位置。

Define World Coordinates Using Spatial Referencing

Spatial referencing objects encode the relationship between the image extent in intrinsic coordinates, the image extent in world coordinates, and the image resolution.

Define World Coordinates Using XData and YData Properties

The XData and YData image properties are two-element vectors that control the range of coordinates spanned by the image.

特色示例

Create a Gallery of Transformed Images

Warp a test image using built-in and custom geometric transformations, including affine, projective, polynomial, piecewise linear, sinusoidal, barrel, and pin-cushion transformations.

打开实时脚本

Perform Simple 2-D Translation Transformation

Shift an image vertically and horizontally. Use spatial referencing information to display the original image and the translated image from the same perspective.

打开实时脚本