Automatic Dominant Region Segmentation for Natural Images

摘要

Image Segmentation segments an image into different homogenous regions. An efficient semantic based image retrieval system divides the image into different regions separated by color or texture sometimes even both. Features are extracted from the segmented regions and are annotated automatically. Relevant images are retrieved from the database based on the keywords of the segmented region In this paper, automatic image segmentation is proposed to obtained dominant region of the input natural images. Dominant region are segmented and results are obtained . Results are also recorded in comparison to JSEG algorithm