New Method to Detect Salient Objects in Image Segmentation using Hypergraph Structure

Advances in Electrical and Computer Engineering

GANEA, E. ; BURDESCU, D. D. ; BREZOVAN, M..

关键词: feature extraction;    image processing;    image segmentation;    hypergraph data structures;    object detection;   

DOI  :  10.4316/AECE.2011.04018

学科分类：计算机科学（综合）

来源: Universitatea "Stefan cel Mare" din Suceava

【 摘 要 】

This paper presents a method for detection of salient objects from images. The proposed algorithms for image segmentation and objects detection use a hexagonal representation of the image pixels and a hypergraph structure to process this hierarchal structure. The main goal of the method is to obtain salient regions, which may be associated with semantic labels. The designed algorithms use color characteristic and syntactic features for image segmentation. The object-oriented model used for storing the results of the segmentation and detection allows directly annotation of regions without a processing of these. The experiments showed that the presented method is robust and accurate comparing with others public methods used for salient objects detection.

【 授权许可】

Unknown