1 簡介

本文采用區(qū)域生長算法對焊縫缺陷進(jìn)行有效分割.該算法沿承傳統(tǒng)區(qū)域生長算法的思想,主要依據(jù)邊緣灰度突變的信息,在焊縫區(qū)域,先定位出所有可能的種子點(diǎn)并確定行方向上缺陷的邊緣位置,再取對應(yīng)處的像素灰度均值作為灰度閾值,最后從種子點(diǎn)開始并以不大于灰度閾值為判定準(zhǔn)則進(jìn)行生長.實(shí)驗(yàn)結(jié)果表明,該算法幾乎能分割出焊縫中全部缺陷,并能使缺陷形狀保留完整,這對后續(xù)缺陷的分類識別意義重大.

2 完整代碼

clear all, close all, clc f = imread(’defective_weld.tif’); imshow(f), title(’原始圖象’) figure, [counts,x] = imhist(f); bar(x,counts), title(’原始圖象的直方圖’) S = 255; T = 65; [g, NR, SI, TI] = regiongrow(f, S, T); figure, imshow(SI), title(’種子點(diǎn)圖象’) figure, imshow(TI), title(’閾值測試后的圖象’) figure, imshow(g), title(’8連通性分析后的圖象’) bw = edge(g, ’canny’); figure, imshow(bw), title(’邊緣圖象’) ff = f; ff(bw) = 0; figure, imshow(ff), title(’疊加圖象’)

function [g, NR, SI, TI] = regiongrow(f, S, T) %REGIONGROW Perform segmentation by region growing. %   [G, NR, SI, TI] = REGIONGROW(F, SR, T). S can be an array (the %   same size as F) with a 1 at the coordinates of every seed point %   and 0s elsewhere. S can also be a single seed value. Similarly, %   T can be an array (the same size as F) containing a threshold %   value for each pixel in F. T can also be a scalar, in which %   case it becomes a global threshold.   % %   On the output, G is the result of region growing, with each %   region labeled by a different integer, NR is the number of %   regions, SI is the final seed image used by the algorithm, and TI %   is the image consisting of the pixels in F that satisfied the %   threshold test. %   Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins %   Digital Image Processing Using MATLAB, Prentice-Hall, 2004 %   $Revision: 1.4 $ $Date: 2003/10/26 22:35:37 $ f = double(f); % If S is a scalar, obtain the seed image. if numel(S) == 1   SI = f == S;   S1 = S; else   % S is an array. Eliminate duplicate, connected seed locations   % to reduce the number of loop executions in the following   % sections of code.   SI = bwmorph(S, ’shrink’, Inf);     J = find(SI);   S1 = f(J); % Array of seed values. end TI = false(size(f)); for K = 1:length(S1)   seedvalue = S1(K);   S = abs(f - seedvalue) <= T;   TI = TI | S; end % Use function imreconstruct with SI as the marker image to % obtain the regions corresponding to each seed in S. Function % bwlabel assigns a different integer to each connected region. [g, NR] = bwlabel(imreconstruct(SI, TI));

3 仿真結(jié)果

4 參考文獻(xiàn)

[1]孫太生等. "基于改進(jìn)區(qū)域生長算法的焊縫圖像分割." 現(xiàn)代焊接 2(2012):2.

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