代码搜索：structuring
找到约 82 项符合「structuring」的源代码
代码结果 82
www.eeworm.com/read/100282/15877984
html logrecord.html
Logging area
The logging area consists of a sequence of 4KB log records. Each logrecord
is structured as follows:
offset(length) contents
0(4) Magic number 'RCRD'
1E
www.eeworm.com/read/359212/10161268
m imorph.m
%IMORPH Morphological neighbourhood processing
%
% mi = IMORPH(image, se, op)
% mi = IMORPH(image, se, op, edge)
%
% Performs grey scale or binary morphology of the input image using the
% binary s
www.eeworm.com/read/310212/13655055
m erode.m
function cout = erode(varargin)
%ERODE Perform erosion on binary image.
% BW2 = ERODE(BW1,SE) performs erosion on the binary image
% BW1 using the binary structuring element SE. SE is a matrix
www.eeworm.com/read/134896/13971220
m iopen.m
%IOPEN Morphological opening
%
% B = IOPEN(A, SE [,N])
%
% Return the image A after morphological opening with the structuring
% element SE. N (default to 1) erosions then N dilations are performed.
www.eeworm.com/read/134896/13971321
m imorph.m
%IMORPH Morphological neighbourhood processing
%
% mi = IMORPH(image, se, op)
% mi = IMORPH(image, se, op, edge)
%
% Performs grey scale or binary morphology of the input image using the
% binary s
www.eeworm.com/read/203482/15357910
m iopen.m
%IOPEN Morphological opening
%
% B = IOPEN(A, SE [,N])
%
% Return the image A after morphological opening with the structuring
% element SE. N (default to 1) erosions then N dilations are performed.
www.eeworm.com/read/203482/15357971
m imorph.m
%IMORPH Morphological neighbourhood processing
%
% mi = IMORPH(image, se, op)
% mi = IMORPH(image, se, op, edge)
%
% Performs grey scale or binary morphology of the input image using the
% binary s
www.eeworm.com/read/202824/15371997
m iopen.m
%IOPEN Morphological opening
%
% B = IOPEN(A, SE [,N])
%
% Return the image A after morphological opening with the structuring
% element SE. N (default to 1) erosions then N dilations are performed.
www.eeworm.com/read/202824/15372056
m imorph.m
%IMORPH Morphological neighbourhood processing
%
% mi = IMORPH(image, se, op)
% mi = IMORPH(image, se, op, edge)
%
% Performs grey scale or binary morphology of the input image using the
% binary s
www.eeworm.com/read/200388/15434386
m imorph.m
%IMORPH Morphological neighbourhood processing
%
% mi = IMORPH(image, se, op)
% mi = IMORPH(image, se, op, edge)
%
% Performs grey scale or binary morphology of the input image using the
% binary s