DIP Techniques DIP Image segmentation Main Applications of DIP

1. DIP PROJECTS USING
MATLAB
www.matlabsimulation.com/dip-projects-using-matlab/

2. DIP Techniques
Let we see about of our Advanced techniques used for digital image processing using Matlab listed below,
Image Classification
Techniques
Feature Extraction
Image
Segmentation
Image Analysis
Image Preprocessing
Image Enhancement

3. DIP - Image segmentation
The up-to-date concepts of DIP based image segmentation under Matlab projects listed below,
Multi scale and model based
segmentation
Graph partition
methods
Color based
segmentation(K-mean
clustering)
Region growing and also
segmentation
Edge detection(Canny
method)

4. Main Applications of DIP
Here, we have listed recent applications research using Matlab projects below,
Biomedical Imaging
techniques(Heart and lung
disease identification,
digital mammograms –
Imaging)
Remote sensing(City
planning, flood control,
resource mobilization,
agricultural production
monitoring)
Automatic visual inspection
system (Incandescent lamp
filaments, faulty component
identification )
Aerial surveillance
(Land and also ocean
surveillance)
Material science and non
destructive evaluation
Military applications

5. Contact Us
24
www.matlabsimulation.com
+91 9444856435
matlabguide@gmail.com