Changes for page 4. Image segmentation with ilastik
Last modified by annedevismes on 2021/06/08 11:56
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... ... @@ -9,11 +9,12 @@ 9 9 10 10 As a general rule, pixel classification is suitable for images in which there are clear differences in the colour, intensity and/ or texture of the feature-of-interest versus the background and other structures. If there is non-specific labelling in the image that is very similar in appearance to the labelling-of-interest, object classification may allow the non-specific labelling to be filtered out based on object level features such as size and shape. The best approach is determined by trial and error. 11 11 12 -=== Pixel classification workflow === 13 13 13 +=== H3 Headings Will Appear In The Table of Content === 14 14 15 -==== ==== 15 +==== You can also add images ==== 16 16 17 +[[image:Collaboratory.Apps.Article.Code.ArticleSheet@placeholder.jpg]] 17 17 18 18 Photo by David Clode 19 19