function?[denoised]?=?morphological（x）

%?Code?written?and?published?by?Aditya?Sundar?Texas?Instruments
%?This?code?can?be?used?to?morpholgically?filter?an?image
%?This?code?also?plots?the?inputs?and?the?outputs??
%?based?on?the?amount?of?noise?present?in?the?signal?and?the?type?length?of?the?time?series?the?size?of?the?structuring?element?should?be?changed
%?More?the?width?of?the?white?portion?Structuring?element?more?is?the?
%??filtering
%Larger?the?size?of?the?SE?more?is?the?filtering?also
%?Incase?of?any?queries?please?email?me?at?:?aditsundar@gmail.com?


%demo?script

%?x?=xlsread（‘noisy.xlsx‘）;?????
%?denoised=?morphological（x）;

%?Original?idea?for?the?same?was?developed?by?:

%Rishendra?Verma??Rini?Mehrotra?Vikrant?Bhateja?A?New?Morphological?Filtering?Algorithm?for?Pre-Processing?of?Electrocardiographic?Signals?Lecture?Notes?in?Electrical?Engineering?Volume?1?Pg.193-201?（2013）?%doi?:?10.1007/978-81-322-0997-3_18

%Please?rate?if?you?find?useful

plot（x）
title（‘noisy?signal‘）;
SE=zeros（1010）;
for?i=4:6
????for?j=1:10
????????SE（ij）=1;
????end
end

for?j=4:6
????for?i=1:10
????????SE（ij）=1;
????end
end
imtool（SE）;
????
IM2?=?imtophat（xSE）;
%plot（IM2）;					%Morphologically?estimated?noise
denoised=?x-IM2;
figure（2）
plot（denoised）;
title（‘denoised?signal‘）;
end

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????1352??2015-05-02?00:34??Morphological?signal?filtering\morphological.m
?????文件???????64796??2015-08-24?16:48??Morphological?signal?filtering\Noisy.xlsx
?????文件???????70986??2015-11-25?00:39??Morphological?signal?filtering\title?pic.png
?????文件????????1520??2015-09-23?13:52??license.txt