For More Matlab Projects Visit last Posted Matlab Project **Traffic Sign Recognition Using Matlab . **

**Introduction **

- Our Objective is to Detect Road tract using road edges especially when road signs or marking are not available.
- Input is
**video.avi**format first frames are extracted and then Chroma based segmentation is applied. - Figure Below Shown the Project model we have to implement this project according the Below Block Set.

## Scenarios when both edges of road are visible

- First algorithm search for the detection of left and right edges of the road.
- This is done by simply analyzing video frames and when there’s change in color behavior algorithm search for edges by drawing lines on road starting from the center and in the same way lines move towards the edges as shown in the figure below
- Lines started from
**Initial Lines Pair**and then lines are**Expanding**and finally when there is**Convergence**edges are found

## Algorithm Result

Now the following image below shows result of above procedure.

## Algorithm Detected Edges of Road Shown by Pink and Yellow Lines

## When There’s No Road

## Results when only one side of road is visible

## Result When Both Sides of Road Edges are Visible

## Templates

Following images were used for concatenation

## Used to Show Road is Left

## Used to Show Road is Right Diagonal

## Used to Show Road is Right

## Used to Show Road is Left Diagonal

## Used to Show Road Straight

## Used to Show There’s No Road

## Matlab Implementation

function road

arrow1=imread(‘arrow1.jpg’); arrow1=imresize(arrow1,[50 50]);

arrow2=imread(‘arrow2.jpg’); arrow2=imresize(arrow2,[50 50]);

arrow3=imread(‘arrow3.jpg’); arrow3=imresize(arrow3,[50 50]);

arrow4=imread(‘arrow4.jpg’); arrow4=imresize(arrow4,[50 50]);

arrow5=imread(‘arrow5.jpg’); arrow5=imresize(arrow5,[50 50]);

cross=imread(‘cross.jpg’); cross =imresize(cross,[50 50]);

readerobj = mmreader(‘roadtest.avi’);

Frames = read(readerobj);

vidFrames = read(readerobj);

numFrames = get(readerobj, ‘numberOfFrames’);

r = readerobj.Height;

c = readerobj.Width;

for k = 1 : numFrames-1

mov(k).cdata = vidFrames(:,:,:,k);

a=mov(k).cdata;

z=mov(k).cdata;

for i=1:r

for j=1:c

if(a(i,j,1)>100&&a(i,j,2)>120&&a(i,j,3)>110&&a(i,j,1)<255&&a(i,j,2)<255&&a(i,j,3)<255) if(a(i,j,1)>120&&a(i,j,2)>190&&a(i,j,3)>120&&a(i,j,1)<160&&a(i,j,2)<255&&a(i,j,3)<150) z(i,j,1)=255; z(i,j,2)=255; z(i,j,3)=255; else z(i,j,1)=0; z(i,j,2)=0; z(i,j,3)=0; end else z(i,j,1)=255; z(i,j,2)=255; z(i,j,3)=255; end end end z=z(:,:,1); check=0; if(z(r,c/2)==0&&z(r-2,c/2)==0) for i=1:1:r-10 if(z(i,1)&&z(i+1,1)&&z(i+2,1)&&z(i+4,1)&&z(i+5,1)==255&&z(i+10,1)==255) x=i; end if(z(i,c)&&z(i+1,c)&&z(i+2,c)&&z(i+4,c)&&z(i+5,c)==255&&z(i+10,c)==255) y=i; end end if(x>=160&&y>=160)

if(x==y||x==y+2)

a(120:169,120:169,:)=arrow3;

check=1;

elseif(x<y) a(120:169,120:169,:)=arrow4; check=1; elseif(x>y)

a(120:169,120:169,:)=arrow2;

check=1;

end

end

if(check==0)

a(120:169,120:169,:)=arrow5;

end

else

a(120:169,120:169,:)=cross;

end

mov(k).cdata=a;

vidFrames(:,:,:,k)=mov(k).cdata;

end

implay(Frames);

implay(vidFrames);

## How To See Output

Just play these two input and output videos to see output.

## Source Code

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This is my mail,id could you send the source for this project?

I was wondering if you have a implementation of chroma based color similarity , i am doin a project on the following paper and have completed the whole code except for the color similarity part , the paper i am refrerring to is “www.ijcaonline.org/volume15/number2/pxc3872565.pdf”. can u help me out with the color part , i can mail u the rest of the code if u need

mail me at ammad.amu36@gmail.com and tell me more about this what you have done on your own and what do you expect more

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