Changes for page 4. Image segmentation with ilastik
Last modified by annedevismes on 2021/06/08 11:56
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... ... @@ -4,10 +4,10 @@ 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 image**7 +There are two main approaches for the analysis of rodent brain section image 8 8 9 9 1. Pixel classification only (with two or more classes) 10 -1. Pixel classification with two classes (//immunoreactivity// and //background//), followed by Object classification with two classes (//objects of interest// and //artefact//).10 +1. Pixel classification with two classes (//immunoreactivity// and //background//), followed by object classification with two classes (//objects of interest// and //artefact//). 11 11 12 12 **Which approach is best for my dataset?** 13 13 ... ... @@ -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 27 +=== === 28 + 29 +=== === 30 + 31 +=== === 32 + 33 +=== === 34 + 35 + 36 + 37 + 38 + 39 + 40 + 41 + 42 + 43 + 44 + 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//**.**