Changes for page 4. Image segmentation with ilastik
Last modified by annedevismes on 2021/06/08 11:56
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... ... @@ -1,11 +1,24 @@ 1 1 == [[image:ilastik_logo.PNG||style="float:right"]] == 2 2 3 -== (% style="color:#c0392b" %)Analysis approach for series of rodent brain section image(%%) == 3 +== [[image:Pixel_classification workflow.png||style="float:left"]](% style="color:#c0392b" %)Analysis approach for series of rodent brain section image(%%) == 4 4 5 5 Ilastik is a versatile image analysis tool specifically designed for the classification, segmentation and analysis of biological images based on supervised machine learning algorithms. 6 6 7 -There are two main approaches for the analysis of rodent brain section images. 8 8 8 + 9 + 10 + 11 + 12 + 13 + 14 + 15 + 16 + 17 + 18 + 19 + 20 +There are two main approaches for the analysis of rodent brain section image 21 + 9 9 1. Pixel classification only (with two or more classes) 10 10 1. Pixel classification with two classes (//immunoreactivity// and //background//), followed by object classification with two classes (//objects of interest// and //artefact//). 11 11 ... ... @@ -24,6 +24,24 @@ 24 24 * Export the probability maps in HDF5 format, and simple_segmentation images in PNG format with the default settings. 25 25 * Review the results. 26 26 40 +=== === 41 + 42 +=== === 43 + 44 +=== === 45 + 46 +=== === 47 + 48 + 49 + 50 + 51 + 52 + 53 + 54 + 55 + 56 + 57 + 27 27 === (% style="color:#c0392b" %)Object classification workflow(%%) === 28 28 29 29 There are three options on the ilastik start up page for running Object Classification. Choose the //Object Classification with Raw Data and Pixel Prediction Maps as input//**.**