Texture: Difference between revisions
imported>Scott (New page: ===Purpose=== Run texture analysis on an image or group of images. ===Synopsis=== :[y,varargout]= texture(img, method, options, varargin) ===Description=== TEXTURE will perform an analy...) |
imported>Scott No edit summary |
||
| Line 7: | Line 7: | ||
===Description=== | ===Description=== | ||
TEXTURE will perform an analysis on any 2 dimensional (m x n pixels) | TEXTURE will perform an analysis on any 2 dimensional (m x n pixels) layer of an image or group of images. It loops through input 'img' where mode 3 is considered the variables (slabs of an image) mode and mode 4 is considered the images mode. Any additional inputs to the chosen 'method' must be added after the options input. | ||
Outputs are 'y' a dataset with each row corresponding to an image and varargout containing any secondary output from the selected method. Outputs for a 'method' must be designated by the user with options.numout. Outputs will be appended together forming one row vector per image. E.G. for 'anglemt' if options.numout = [2 1] then the y{2} and y{1} outputs of 'anglemt' will be concatenated to form the row. Only the first output of a function is used. If there is a second output of a function it is assigned to varargout. | |||
Aggregation can be performed across variables (slabs/layers) and or across images. For example, setting options.varmode = 'sum' will sum the layer of an image into one layer. | |||
====Inputs==== | ====Inputs==== | ||
* '''first''' = | * '''img''' = image data (matrix or DataSet). The first two modes must be pixels, the third mode must be variables, and the fourth mode must be images. | ||
* '''method''' = texture method ('anglemt' 'autocor_img' 'svd_texture' 'fft_texture' 'semivar'). | |||
* '''varargin''' = additional input needed for selected 'method'. | |||
====Optional Inputs==== | ====Optional Inputs==== | ||
* ''' | * '''varargin''' = additional input needed for selected 'method'. | ||
====Outputs==== | ====Outputs==== | ||
* '''firstout''' = first output is this. | * '''firstout''' = first output is this. | ||
* '''y''' = dataset where each row (spectra) corresponds to an image. | |||
* '''varargout''' = second ouput of a function (e.g. for anglemt this would be 's', the distance scales). Will transform into row vector of cells. | |||
===Options=== | ===Options=== | ||
| Line 39: | Line 30: | ||
options = a structure array with the following fields: | options = a structure array with the following fields: | ||
* ''' | * '''numout''': [{1}] 1xK vector. Number and order of outputs from selected 'method' to use. | ||
* ''' | * '''imgmode''': [ {'none'} | 'sum' | 'mean' ] aggregation across images. | ||
* '''varmode''': [ {'none'} | 'sum' | 'mean' ] aggregation across variables. | |||
TEXTURE FUNCTION SUB-STRUCTURES | |||
These options can be assigned in their nested form. See the particular function for a full description of available options. For example: | |||
: <tt>options.anglemt.xscale = [1:100];</tt> | |||
</ | |||
===See Also=== | ===See Also=== | ||
[[ | [[anglemt]], [[autocor_img]], [[detrend_img]], [[fft_texture]], [[semivar]], [[svd_texture]] | ||
Revision as of 19:14, 29 September 2009
Purpose
Run texture analysis on an image or group of images.
Synopsis
- [y,varargout]= texture(img, method, options, varargin)
Description
TEXTURE will perform an analysis on any 2 dimensional (m x n pixels) layer of an image or group of images. It loops through input 'img' where mode 3 is considered the variables (slabs of an image) mode and mode 4 is considered the images mode. Any additional inputs to the chosen 'method' must be added after the options input.
Outputs are 'y' a dataset with each row corresponding to an image and varargout containing any secondary output from the selected method. Outputs for a 'method' must be designated by the user with options.numout. Outputs will be appended together forming one row vector per image. E.G. for 'anglemt' if options.numout = [2 1] then the y{2} and y{1} outputs of 'anglemt' will be concatenated to form the row. Only the first output of a function is used. If there is a second output of a function it is assigned to varargout.
Aggregation can be performed across variables (slabs/layers) and or across images. For example, setting options.varmode = 'sum' will sum the layer of an image into one layer.
Inputs
- img = image data (matrix or DataSet). The first two modes must be pixels, the third mode must be variables, and the fourth mode must be images.
- method = texture method ('anglemt' 'autocor_img' 'svd_texture' 'fft_texture' 'semivar').
- varargin = additional input needed for selected 'method'.
Optional Inputs
- varargin = additional input needed for selected 'method'.
Outputs
- firstout = first output is this.
- y = dataset where each row (spectra) corresponds to an image.
- varargout = second ouput of a function (e.g. for anglemt this would be 's', the distance scales). Will transform into row vector of cells.
Options
options = a structure array with the following fields:
- numout: [{1}] 1xK vector. Number and order of outputs from selected 'method' to use.
- imgmode: [ {'none'} | 'sum' | 'mean' ] aggregation across images.
- varmode: [ {'none'} | 'sum' | 'mean' ] aggregation across variables.
TEXTURE FUNCTION SUB-STRUCTURES These options can be assigned in their nested form. See the particular function for a full description of available options. For example:
- options.anglemt.xscale = [1:100];
See Also
anglemt, autocor_img, detrend_img, fft_texture, semivar, svd_texture