morphology.hlp

来自「matlab处理图像的一些基本方法。其中有一部分mex程序需要安装编译」· HLP 代码 · 共 41 行

Binary Image Morphology

	Computes several morphology analysis on the binary image.
	The number of cicles determines how many time the 
	transformation is applyed.
	
Methods:
	bothat   The 'close'ing minus the original image.
	bridge   Bridge previously unconnected pixels.
	clean    Remove isolated pixels.
	close    Binary closure.  The same as 'dilate' followed by 'erode'.
	diag     Diagonal fill to eliminate 8-connectivity of background.
	dilate   Add pixels to the boundary of binary objects.
	erode    Remove pixels from the boundary of binary objects.
	fatten   Add pixels to boundary.
	fill     Fill isolated interior pixels.
	hbreak   Erase H-connected pixels.
	majority Create a white pixel if 5 or more pixels are white.
	perim4   4-connected perimeter pixels.
	perim8   8-connected perimeter pixels.
	open     Binary opening.  The same as 'erode' followed by 'dilate'.
	remove   Remove interior pixels.
	shrink   Shrink objects until they are points (preserves Euler number).
	skel     Skeletonize objects (preserves Euler number).
	spur     Remove spur pixels.
	thicken  Thicken objects (preserves Euler number).
	thin     Thin objects until they are lines (preserves Euler number).
	tophat   The original image minus its 'open'ing.

	The operations 'shrink', 'thin', 'skel', and 'thicken',
	which all preserve Euler number, behave differently than
	the other operations in two ways:  1) They don't return
	the LUT output argument, because the algorithm used is
	more complex; 2) The input argument N can be Inf, in
	which case the operations will be repeated until the
	image no longer changes.
			   
    See also BWMORPH  (matlab function)
	
{Modify_Menu.hlp}