boundarymask
Find region boundaries of segmentation
Description
Examples
Create Rasterized Grid of Region Boundaries
Read an image into the workspace.
I = imread('kobi.png');Create a superpixel representation of the image, returned as a label matrix.
L = superpixels(I,100);
Display the label matrix.
imshow(label2rgb(L))
Find the region boundaries of the label matrix.
mask = boundarymask(L);
Display the boundary mask over the original image by using the labeloverlay function. The region boundaries of the label matrix appear as 1-pixel wide cyan lines.
imshow(labeloverlay(I,mask,'Transparency',0))
Input Arguments
L — Label matrix
2-D numeric matrix | 2-D logical matrix
Label matrix, specified as a 2-D numeric matrix of nonnegative numbers or a 2-D logical matrix.
Data Types: single | double | int8 | int16 | int32 | uint8 | uint16 | uint32 | logical
BW — Binary image
numeric matrix | logical matrix
Binary image, specified as a numeric or logical matrix of the same size as
L.
Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | logical
conn — Pixel connectivity
8 (default) | 4
Pixel connectivity, specified as 4 or
8.
Value | Meaning | |
|---|---|---|
Two-Dimensional Connectivities | ||
4-connected | Pixels are connected if their edges touch. The neighborhood of a pixel are the adjacent pixels in the horizontal or vertical direction. |
|
8-connected | Pixels are connected if their edges or corners touch. The neighborhood of a pixel are the adjacent pixels in the horizontal, vertical, or diagonal direction. |
|
Data Types: single | double | int8 | int16 | int32 | uint8 | uint16 | uint32