|Image Processing Toolbox|
Perform erosion on a binary image
This function is obsolete and may be removed in future versions. Use |
BW2 = erode(BW1,SE) performs erosion on the binary image
BW1, using the binary structuring element
SE is a matrix containing only 1's and 0's.
BW2 = erode(BW1,SE,
) performs erosion using the specified algorithm.
alg is a string that can have one of these values:
'spatial'(default) - processes the image in the spatial domain
'frequency'- processes the image in the frequency domain
Both algorithms produce the same result, but they make different tradeoffs between speed and memory use. The frequency algorithm is faster for large images and structuring elements than the spatial algorithm, but uses much more memory.
BW2 = erode(BW1,SE,...,n) performs the erosion operation
The input image
BW1 can be of class
uint8. The output image
BW2 is of class
You should use the frequency algorithm only if you have a large amount of memory on your system. If you use this algorithm with insufficient memory, it may actually be slower than the spatial algorithm, due to virtual memory paging. If the frequency algorithm slows down your system excessively, or if you receive "out of memory" messages, use the spatial algorithm instead.
 Gonzalez, Rafael C., and Richard E. Woods. Digital Image Processing. Addison-Wesley, 1992. p. 518.
 Haralick, Robert M., and Linda G. Shapiro. Computer and Robot Vision, Volume I. Addison-Wesley, 1992. p. 158.