Reverse the words position in a string

This can be done in two ways.

First Method:

 a.Find the length of the string

 b. Use MATLAB built in function strtok to separate the first word and the remaining sentence.

For instance, the input string is ‘Lets Learn together... Happy Reading’.

[Token,remain]=strtok(input_string);

The variable token will contain ‘Lets’

And the variable remain will contain ‘Learn together… Happy Reading’.

Use while loop to extract all the strings.

c. In the first iteration, the string in the token variable is concatenated with a empty variable ‘t’.

Now t has ‘Hello’.

In the second iteration, token has ‘Learn’ and remain has ‘together… Happy Reading’.

Now the string ‘Learn’ is concatenated with the string t.

d. Here to preserve the space ,the syntax [string2, ‘  ’,string1] is used.

The length of the input_string gets reduced during each iteration and finally when all the strings are extracted, the loop is terminated.

MATLAB CODE:

%To reverse the words position in a string

str='Lets Learn together... Happy Reading';

%str=fliplr(str);

len=length(str);

t='';

 while(len>0)

     [token,str]=strtok(str);

     len=length(str);

     %token=fliplr(token);

     %t=[token,' ',t];

     t=[' ',token,t];

        

 end

 display(t);

Output:

t =

 Reading Happy together... Learn Lets

Second  Method:

This  differs  in the way of concatenation.

The input string position is reversed. And inside the loop after extracting each token, it is again reversed.

Then  the  string ‘t’ is concatenated with the token. The first method itself sufficient and just know the other way also.

Pop-Up Menu

A very simple example to show how the pop-up menu / Drop down list in MATLAB works.

MATLAB CODE:
function Popup_menu

global filename Img  I T;

scz=get(0,'ScreenSize');

figure('Position',[round(scz(1,3)/4) round(scz(1,4)/8) 800 500],'MenuBar','None','NumberTitle','off','Name','PopUpMenu Example','Resize','off');

axes('Position',[0 0 .7 1],'xtick',[],'ytick',[]);

directory=dir('*.jpg');

files={directory.name}';

%Get the File Name

%Position =[X Y length width]

uicontrol('style','text','Position',[565,453 60 20]','String','Filename:');
%The file names are the options here.

uicontrol('Style','popupmenu','position',[628 445 170 30],'Value',1,'String',files,'Callback',@displayfile);

%Select the Conversion type

uicontrol('style','text','Position',[565,415 90 20]','String','Image 
Conversion:');

%The options for image conversion are : Original Image, Convert to grayscale,
Convert to binary, Edge detected Image.

uicontrol('Style','popupmenu','position',[565 375 200 30],'Value',1,'String',{'Convert to GrayScale','Convert to Binary','Original Image','Edge detected Image'},'Callback',@convert);

%Select the edge type

T=uicontrol('Style','popupmenu','position',[565 305 200 30],'Value',1,'String',{'Canny','Sobel','Prewitt','log'},'callback',@findedge);

F=uicontrol('style','text','Position',[565,345 90 20]','String','Edge Type:');

%These components can be made visible or invisible

set(T,'Visible','off');

set(F,'Visible','off');

function displayfile(obj,eve)

        ptr=get(obj,'value');

        filename=char(files(ptr));

        Img=imread(filename);

        imshow(Img);

end

%Switch case

%Value 1 performs the conversion of the orginal image to grayscale image

%Value 2 performs the conversion of the orginal image to binary image

%Value 3 shows the orginal image

%Value 4 performs the edge detection of the image based on the type.

    function convert(obj,eve)

        ptr=get(obj,'value');

        switch ptr

            case {1}

                set(T,'Visible','off');

                set(F,'Visible','off');

                I=rgb2gray(Img);

                imshow(I);

            case {2}

                set(T,'Visible','off');

                set(F,'Visible','off');

                I=im2bw(Img);

                imshow(I);

            case {3}

                set(T,'Visible','off');

                set(F,'Visible','off');

                imshow(Img);

            case {4}

            set(T,'Visible','on');

            set(F,'Visible','on');

   

                           

        end

    end

                                                              
                                                             
                                                              


                                      
                                 
                                      
                                     


       

  %To perform edge detection based on the type

    function findedge(obj,event)

            ptr=get(obj,'value');

            B=rgb2gray(Img);

            switch ptr

                case {1}

                    imshow(~edge(B,'canny'));

                case {2}

                    imshow(~edge(B,'sobel'));

                case {3}

                    imshow(~edge(B,'Prewitt'));

                case {4}

                    imshow(~edge(B,'log'));

                   

            end

           

           

        end

               

   

end

Some Random effects

• Negative Image

Subtract 255 from the RGB image, to obtain negative image.
MATLAB CODE:
%Here the  I am subtracting 255 from R,G and B.
A=imread('person.jpg');
imshow(255-A);

Original Image

Negative Image

• Sine Wave
  
  First find the mid point of the RGB image.
  Convert the points from Cartesian to polar co_ordinates
  Find the sine value for the angle 'theta'
  Again convert the points to Cartesian co_ordinates
  
  SAMPLE CODE:
  
  x2=zeros([size(A,1) size(A,2)]);
  y2=zeros([size(A,1) size(A,2)]);
  for i=1:size(A,1)
      x=i-midx;
      for j=1:size(A,2)
  %Cartesian to Polar co-ordinates
             [theta1,rho1]=cart2pol(i,j-midy);
      
        
                
          phi=sin(theta1);
        
  %Polar to Cartesian co-ordinates
          [l,m]=pol2cart(phi,rho1);
          x2(i,j)=ceil(l)+midx;
          y2(i,j)=ceil(m)+midy;
        
      end
  end
  
  

  

  Sine wave

  
  

Original Image