Content Based Image Retrieval (CBIR) of Natural Images

Topic: "Digital Image Processing"
Client: Mrs. Sheila

Brief Exp:

This project was intended to retrieve image(s) from large image database based on its content. Features extraction was developed based on 2-D level-1 wavelet filtering toward image texture and colors. Training was developed based on ensemble training to multi layer neural network. This kind of training method is new for me and quite interesting to explore. I found that its quite good to be implemented to other cases. Result shows that feature extracted for this project could fetch similar images based on one image as an input. Could be used as basis to next development as well as adding improvement to it.


One thing that I like from matlab is the parallel computation ability. It can improve time consume for processing especially in image processing application. You should check them out before simplifying conclusion!

Some snapshots 

Fig 1. Query image - Make up

Fig 2. List of natural images to retrieve in database

Fig 3. Retrieved Natural Image - Make up

We can conclude that system is able to retrieve similar natural image.