平缓的反义词-无可置疑

matlab1源程序
program1:(1)

function [accum, varargout] = CircularHough_Grd(img, radrange, varargin)
%Detect circular shapes in a grayscale image. Resolve their center
%positions and radii.
%
% [accum, circen, cirrad, dbg_LMmask] = CircularHough_Grd(
% img, radrange, grdthres, fltr4LM_R, multirad, fltr4accum)
% Circular Hough transform based on the gradient field of an image.
% NOTE: Operates on grayscale images, NOT B/W bitmaps.
% NO loops in the implementation of Circular Hough transform,
% which means faster operation but at the same time larger
% memory consumption.
%
%%%%%%%% INPUT: (img, radrange, grdthres, fltr4LM_R, multirad, fltr4accum)
%
% img: A 2-D grayscale image (NO B/W bitmap)
%
% radrange: The possible minimum and maximum radii of the circles
% to be searched, in the format of
% [minimum_radius , maximum_radius] (unit: pixels)
% **NOTE**: A smaller range saves computational time and
% memory.
%
% grdthres: (Optional, default is 10, must be non-negative)
% The algorithm is based on the gradient field of the
% input image. A thresholding on the gradient magnitude
% is performed before the voting process of the Circular
% Hough transform to remove the 'uniform intensity'
% (sort-of) image background from the voting process.
% In other words, pixels with gradient magnitudes smaller
% than 'grdthres' are NOT considered in the computation.
% **NOTE**: The default parameter value is chosen for
% images with a maximum intensity close to 255. For cases
% with dramatically different maximum intensities, e.g.
% 10-bit bitmaps in stead of the assumed 8-bit, the default
% value can NOT be used. A value of 4% to 10% of the maximum
% intensity may work for general cases.
%
% fltr4LM_R: (Optional, default is 8, minimum is 3)
% The radius of the filter used in the search of local
% maxima in the accumulation array. To detect circles whose
% shapes are less perfect, the radius of the filter needs
% to be set larger.
%
% multirad: (Optional, default is 0.5)
% In case of concentric circles, multiple radii may be
% detected corresponding to a single center position. This
% argument sets the tolerance of picking up the likely
% radii values. It ranges from 0.1 to 1, where 0.1
% corresponds to the largest tolerance, meaning more radii
% values will be detected, and 1 corresponds to the smallest
% tolerance, in which case only the "principal" radius will
% be picked up.
%
% fltr4accum: (Optional. A default filter will be used if not

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