RobbeElsermans
diff --git a/‎FileStructuur.txt
-7 b/‎FileStructuur.txt
-7
diff --git a/‎Leaf_area_index_review-1.pdf
-4.28 MB b/‎Leaf_area_index_review-1.pdf
-4.28 MB
diff --git a/‎Metingen LAI PCS.xlsx
-11.3 KB b/‎Metingen LAI PCS.xlsx
-11.3 KB
diff --git a/‎Presentatie_TODO.txt
-65 b/‎Presentatie_TODO.txt
-65
diff --git a/‎Presentation case study LAI - final.pptx
-7.82 MB b/‎Presentation case study LAI - final.pptx
-7.82 MB
diff --git a/‎README.md
-2 b/‎README.md
-2
diff --git a/‎RobbesLinks.txt
-30 b/‎RobbesLinks.txt
-30
diff --git a/‎ply_planefit_example.m
+8-3 b/‎ply_planefit_example.m
+8-3
diff --git a/‎rosbag_parser_GMM.m
+1-1 b/‎rosbag_parser_GMM.m
+1-1
diff --git a/‎test.txt
-6 b/‎test.txt
-6
@@ -1,14 +1,19 @@
 clear
 close all
-%pointcloud = pcread('..\PLY files\LC_20231130_152650.ply');
-pointcloud = pcread(".\PLY files\LC_20231130_145946.ply")
+pointcloud = pcread('LAI_detection\LC_20231130_152650.ply');
 %clean up the pointcloud by setting the distance to an overestimation of the approximate distance to the wall
 % such that only actual outliers are removed
 [model,inlierIndices, outlierIndices] = pcfitplane(pointcloud,1);
 cleancloud = select(pointcloud, inlierIndices);
 pcshow(cleancloud)
+title("Cleaned dataset, outliners removed")
 
 estimatedLayerThickness = 0.01;
 [model,inlierIndices, outlierIndices] = pcfitplane(cleancloud,estimatedLayerThickness);
 firstlayer = select(cleancloud, inlierIndices);
-figure();pcshow(firstlayer)
+figure();pcshow(firstlayer)
+title("Leaves first layer")
+
+secondlayer = select(cleancloud, outlierIndices);
+figure();pcshow(secondlayer)
+title("Leaves second layer")
@@ -1,6 +1,6 @@
 
 %% Load an image frame:
-    curBag = rosbag('HC_20231130_143832.bag')
+    curBag = rosbag('.\High_Coverage\HC_20231130_143832.bag')
     curTopics = curBag.AvailableTopics.Properties.RowNames;
     curSelColor = select(curBag,'Topic','/device_0/sensor_1/Color_0/image/data');
     allImColor = readMessages(curSelColor, 'DataFormat', 'struct');