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資源簡介

有關于求取圖像信息熵的matlab M 文件;雖然很簡單,但可以為你省去那么一點時間。 共享改變未來!

資源截圖

代碼片段和文件信息

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%?計算一副圖像的信息熵?%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%?作者:劉建華?時間:2008.6.9?%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%讀入圖像
%如需計算多幅圖像,只需修改名稱即可
img=imread(‘gs3r.jpg‘);


%獲取圖像行列號
[MN]=size(img);

%生成值為零的初始化數組。其用來統計和存儲對應于每個
%灰度級的頻數(概率),數組的大小根據圖像的大小而定
temp=zeros(MN);

figureimshow(img);

%對圖像的灰度值做統計,計算每個灰度級出現的次數
for?m=1:M;
????for?n=1:N;
????????if?img(mn)==0;
???????????i=1;
????????else
???????????i=img(mn);
????????end
????????temp(i)=temp(i)+1;
????end
end
temp=temp./(M*N);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%?由熵的定義做計算信息熵?%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%初始化信息熵存儲變量
EntropyResult=0;

for?i=1:length(temp)
????if?temp(i)==0;
???????EntropyResult=EntropyResult;
????else
???????EntropyResult=EntropyResult-temp(i)*log2(temp(

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件????????976??2009-06-19?11:03??Entropy\entropy.m

?????文件????1058883??2007-11-19?13:56??Entropy\JPEG?Specification\ITU-T.81.pdf

?????文件??????17183??2011-06-03?10:19??Entropy\JPEG?Specification\JPEG?File?Interchange?Format.pdf

?????文件??????????0??2011-06-03?10:43??Entropy\求圖像信息熵?matlab?M文件entropy.txt

?????目錄??????????0??2011-06-03?10:44??Entropy\JPEG?Specification

?????目錄??????????0??2011-06-03?10:44??Entropy

-----------?---------??----------?-----??----

??????????????1077042????????????????????6


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