mibDoImageFiltering.m File Reference

Filter image with basic Matlab filters. More...

Functions
function [ img , logText ] =	mibDoImageFiltering (img, options)
	Filter image with basic Matlab filters.

Detailed Description

Filter image with basic Matlab filters.

Function Documentation

mibDoImageFiltering()

function [ img , logText ] = mibDoImageFiltering	(		img,
			options )

Filter image with basic Matlab filters.

Parameters

img

-> image stack, [1:height, 1:width, 1:color, 1:layers]

options

-> a structure with parameters .dataType - type of the dataset, '4D' - [height, width, color, z], '3D' - [height, width, z] .fitType - type of the filter to use: 'Gaussian', 'DNN Denoise', 'Disk', 'Motion', 'Unsharp', 'Median', 'Wiener', 'Average', 'Motion', 'External: BMxD' .filters3DCheck - do filter in 3D .colorChannel - color channel to filter, when 0 filter all channels .hSize - size of the Kernel to use, or Ratio for the Frangi filter .sigma - sigma for the filters, or Ratio for the Frangi filter (if required) .lambda - lambda for the filters, or beta1 for Frangi (if required) .beta2 - beta2 value for Frangi filter (if required) .beta3 - beta3 value for Frangi 3D filter (if required) .BlackWhite - BlackWhite switch indicating black ridges over white background for Frangi filter (if required) .pixSize - voxel sizes for 3D gaussian (imageData.pixSize.x imageData.pixSize.y imageData.pixSize.z) .orientation - orientation of the dataset for 2D filters, 1-for XZ, 2 - YZ, 4 - XY .padding - a string with a padding value: symmetric - pad array with mirror reflections of itself, replicate - pad array by repeating border elements, zeros - pad array with 0s .showWaitbar - [optional], when 1-default, show the wait bar, when 0 - do not show the waitbar

Return values

img	filtered dataset, [1:height, 1:width, 1:color, 1:no_stacks]
logText	log text with parameters of the applied filter

Required fields of options:

References FrangiFilter2D(), FrangiFilter3D(), max, and min.

Referenced by mibController.mibImageFilterDoitBtn_Callback(), mibModel.smoothImage(), and mibDeepController.startPredictionBlockedImage().

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