xxxx18一60岁hd中国/日韩女同互慰一区二区/西西人体扒开双腿无遮挡/日韩欧美黄色一级片 - 色护士精品影院www

資源簡(jiǎn)介

圖像分割,簡(jiǎn)單地說(shuō)就是將一幅數(shù)字圖像分割成不同的區(qū)域,在同一區(qū)域內(nèi)具有在一定的準(zhǔn)則下可認(rèn)為是相同的性質(zhì),如灰度,顏色,紋理等,而任何相鄰區(qū)域之間其性質(zhì)具有明顯的區(qū)別。 基于信息熵的一類(lèi)方法被廣泛應(yīng)用到圖像分割領(lǐng)域,比如最大熵,最大交叉熵,最小交叉熵等。本文研究了基于Tsallis熵的多閾值圖像分割算法,通過(guò)利用圖像的灰度直方圖信息,近似擬合灰度的概率分布函數(shù),然后設(shè)定目標(biāo)函數(shù),目標(biāo)函數(shù)最大化對(duì)應(yīng)的閾值就是最佳閾值,相比傳統(tǒng)算法,Tsallis熵的閾值分割方法,能夠克服一定的噪聲干擾,同時(shí)避免了單閾值的問(wèn)題,能夠分割多個(gè)感興趣區(qū)域。 本文最后在matlab環(huán)境中進(jìn)行真實(shí)圖像的分割實(shí)驗(yàn),結(jié)果表明,這種方法能夠較好的克服圖像細(xì)節(jié)分割不準(zhǔn)的問(wèn)題,同時(shí)能夠針對(duì)多個(gè)灰度級(jí)別進(jìn)行分割,大大提高分割的準(zhǔn)確率。

資源截圖

代碼片段和文件信息

clc;
clear;
%C=imread(‘lena.bmp‘);
%C=imread(‘stone.jpg‘);
C=imread(‘1.bmp‘);
if?isrgb(C)
????I=rgb2gray(C);
else
????I=C;
end
%I=imnoise(I‘gaussian‘00.005);
%figure
subplot(131)
imshow(I)
tic
IDX?=?otsu(I2);
subplot(132);
imagesc(IDX)?axis?image?off?
colormap(gray)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%確定基本粒子群算法的迭代次數(shù)和粒子個(gè)數(shù)
Iter?=?50;
global??popsize
popsize?=?20;??%%粒子個(gè)數(shù)
global?dimsize
dimsize=2;??%%粒子維數(shù)
%初始化基本粒子群優(yōu)化算法的參數(shù)
Wmax?=?0.9;?????????????%最大慣性因子
Wmin?=?0.1;?????????????%最小慣性因子
c1?=?2.0;???????????????%個(gè)體學(xué)習(xí)因子
c2?=?2.0;???????????????%群體學(xué)習(xí)因子
xmax?=?254;?????????????%粒子允許的最小位置
xmin?=?2;?
speedmax=10;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%初始化
????????for?k1=1:popsize
???????????for?i=1:popsize
??????????????%Xpop(i1:dimsize)=?unifrnd(xminxmax1dimsize);
?????????????????%pop(i1:dimsize)=[?unifrnd(xmin85)?unifrnd(85170)unifrnd(170255)];???%%三閾值
??????????????????Xpop(i1:dimsize)=unifrnd(22541dimsize);???%%兩閾值
???????????end
???????????for?j=1:popsize
???????????????Xpop(jdimsize+1:2*dimsize)=?unifrnd(-speedmaxspeedmax1dimsize);
???????????end
???????????pop(k11:2*dimsize?)=?Xpop(k11:2*dimsize);
????????end
????????
????????BestFit?=?0;
????????pBestFit=zeros(popsize1);?%%%%%%%%
????????%初始化粒子歷史最優(yōu)位置pBest和全局最優(yōu)位置gBest
????????pBest?=?zeros(popsizedimsize);
????????gBest?=?zeros(1dimsize);
????????
????????%迭代更新
????????for?it?=?1:Iter
????????????for?t=1:popsize
????????????????%計(jì)算適應(yīng)度pFit并更新歷史最優(yōu)適應(yīng)度pBestFit和全局最佳適應(yīng)度gBestFit
????????????????Theta?=?pop(t1:dimsize);

????????????????%當(dāng)前粒子的適應(yīng)度pFit
????????????????pFit?=?ThetaFit(ThetaI);

????????????????%更新個(gè)體歷史最優(yōu)適應(yīng)度pBestFit
????????????????if?pFit?>?pBestFit(t)
????????????????????pBestFit(t)?=?pFit;
????????????????????pBest(t1:dimsize)?=?pop(t1:dimsize);
????????????????end
????????end
????????%更新當(dāng)前時(shí)刻全局最優(yōu)位置gBest、前一時(shí)刻全局最優(yōu)適應(yīng)度PregBest
????????%和全局最佳適應(yīng)度gBestFit
????????[gBestFitind]?=?max(pBestFit);???%%pBestFit(j:)表示第j個(gè)子群的適應(yīng)度值,ind(j)表示位置
????????gBest(1:dimsize)?=?pBest(ind1:dimsize);??
????????%位置向量和速度向量更新
????????for?j=1:popsize
????????????????for?t?=?dimsize+1:2*dimsize
????????????????????%慣性權(quán)重更新并產(chǎn)生隨機(jī)數(shù)r1、r2
????????????????????W?=?Wmax?-?it*(Wmax?-?Wmin)/Iter;
????????????????????r1?=?rand;
????????????????????r2?=?rand;

????????????????????%速度向量Vpos更新
????????????????????pop(jt)?=?W*pop(jt)?+?c1*r1*(pBest(jt-dimsize)?-?pop(jt-dimsize))?+?...
????????????????????????????c2*r2*(gBest(t-dimsize)?-?pop(jt-dimsize));
????????????????????%限制更新后粒子速度在[VminVmax]范圍內(nèi)
????????????????????if?pop(jt)?>?speedmax
????????????????????????pop(jt)?=?speedmax;
????????????????????end
???????????????????if?pop(jt)?????????????????????????pop(jt)?=?-speedmax;
???????????????????end

????????????????????%粒子位置更新
????????????????????pop(jt-dimsize)?=?pop(jt-dimsize)?+?pop(jt);
???

?屬性????????????大小?????日期????時(shí)間???名稱(chēng)
-----------?---------??----------?-----??----
?????目錄???????????0??2018-10-10?15:39??源碼\
?????文件???????56910??2016-04-27?00:29??源碼\1.bmp
?????文件???????66614??2016-04-27?00:08??源碼\lena.bmp
?????文件????????3936??2016-04-27?00:41??源碼\main.m
?????文件????????1888??2016-04-27?12:31??源碼\main_Tsallis_2D.m
?????文件???????76885??2012-10-30?15:53??源碼\stone.jpg
?????文件??????889611??2016-04-27?12:34??源碼\畢業(yè)論文?(修復(fù)的).docx
?????目錄???????????0??2018-10-10?15:39??演示\
?????文件?????5437006??2016-04-13?13:32??演示\9780.avi
?????文件??????????64??2018-10-10?16:34??說(shuō)明.txt
?????目錄???????????0??2018-10-10?15:38??需求\
?????文件???????13002??2016-04-04?21:27??需求\新建?Microsoft?Word?文檔.docx

評(píng)論

共有 條評(píng)論