Skip to main content

Table 1 Description of the different segmentation methods [colour-based (C); texture-based (T); edge-based (E)] used during the images analysis of top view images of L. perenne plants

From: High-throughput phenotyping of lateral expansion and regrowth of spaced Lolium perenne plants using on-field image analysis

Name Segmentation method Colour space—channel Domain Method (WiT) Extra tools used
Before After
C1 Colour threshold HSV–HSV Spatial Threshold   Dilate, fill holes, erode, selection of the largest object
C2 Colour threshold RGB-B/G Spatial Threshold   Dilate, fill holes, erode, selection of the largest object
T1 Texture HSV-S Frequency Fast Fourier transform and cosine filter   Dilate, fill holes, erode, selection of the largest object
T2 Texture HSV-S Spatial Entropy measurement   Dilate, fill holes, erode, selection of the largest object
E1 Edge HSV-S Spatial Gradient magnitude and direction filter (Prewitt) Gauss filter Dilate, fill holes, erode, selection of the largest object
E2 Edge HSV-S Spatial Two dimensional convolution Gauss filter Dilate, fill holes, erode, selection of the largest object
E3 Edge HSV-S Spatial Prewitt edge detection Gauss filter Dilate, fill holes, erode, selection of the largest object
E4 Edge HSV-S Spatial Refine edges based on Prewitt Gauss filter Dilate, fill holes, erode, selection of the largest object