1. Shivang Singhal Project Guide
Object Recognition and extract its features based on digital image processing.
Shivang Singhal Project Guide
Gaurav Srivastava Mr. Ashok Kumar Shankul Saurabh Electronics Engg. Dept.
Shailesh Singh

2. Functioning steps.. 1. Counting number of Objects in Digital Image.
2. Finding Area of each object (inPixels).
3. Tagging each object in image with no. and its area.
4. Clumping of Objects. (In case two objects are overlapping)

3. Software Used… Software: Matlab 7.5 Toolbox –Image Processing Toolbox
Image Acquisition Toolbox

4. Image Capture
Image is captured in real time by Web Camera installed in Computer

5. Filtering
Low pass Filtering is done to remove noise and to smooth image.
1.Linear Filter-to remove linear kind of noise.
2.Median Filter-to remove salt and pepper kind of noise .
3. Adaptive Filter-to remove gaussian noise.

6. Object Counting
Objects are diffrentiated fro background by reading their boundary pixels.
These are counted by finding size of bounadry matrix.
[B L]=bwboundaries(BW);
C=size(B);
C1=C(1,1);

7. Area Calculation Area of each object is calculated after counting.
Area of each object is tagged in terms of pixel values in image.

8. Clumping
If two objects are overlapping than these are cut in to two object by this function.

9. Final GUI

10. Future Scope
1. Project can be more advanced toward Multispectral Type of Images.
2. Limitations of Clumping can overcome.
3. Shapes of each object can also be identified.
4. 3D Image Processing can be used for object recognition in 3D.

11. THANK YOU