Improved quadtree image segmentation approach to region information

Abstract

Images are full of information and most often, little information is desired for subsequent processing. Hence, region of interest has key importance in image processing. Quadtree image segmentation has been widely used in many image processing applications to locate the region of interest for further processing. There are also variable block-size image coding techniques to effectively reduce the number of transmitted parts. This paper presents quadtree partition technique as a pre-processing step in image processing to determine what part should be more heterogeneous than the others. It also introduces an idea to solve the problem of squared images. Finally, proposed approach is implemented and analysed. The simulation of the Matlab code of the quadtree is represented by all algorithms and the figures. Thus, achieved results are promising in the state of the art.

Keywords:

• Quadtree
• Image segmentation
• Image compressing
• Information acquisition
• Region of interest (ROI)
• Image visualisation

Acknowledgment

We express our deepest thanks and appreciation to the Deanship of Scientific Research at King Saud University Riyadh KSA for funding this research. We are also thankful to our colleague researchers for their valuable suggestions to improve this work.