| 注册
首页|期刊导航|计算机工程与应用|基于分块对比的多尺度图像显著区域检测

基于分块对比的多尺度图像显著区域检测

范青 于凤芹 陈莹

计算机工程与应用2016,Vol.52Issue(6):162-166,5.
计算机工程与应用2016,Vol.52Issue(6):162-166,5.DOI:10.3778/j.issn.1002-8331.1403-0270

基于分块对比的多尺度图像显著区域检测

Multi-scales image saliency detection based on block contrast

范青 1于凤芹 1陈莹1

作者信息

  • 1. 江南大学 物联网工程学院,江苏 无锡 214122
  • 折叠

摘要

Abstract

In order to overcome the problem of unclear regional outline and weak anti-noise ability in image salient region detection, a multi-scales image saliency detection based on block contrast is proposed. This method based on Itti’s model, extracts image features under different scales to express the overall characteristics of images, and then computes local con-trast of image block as the saliency value of the image. It uses adaptive threshold value method to extract salient region from the saliency map. Simulation experiment result demonstrates that the method can accurately extract image salient region with clear boundary.

关键词

显著区域检测/多尺度/图像分块/对比显著度

Key words

salient region detection/multiple scales/image block/contrast value

分类

信息技术与安全科学

引用本文复制引用

范青,于凤芹,陈莹..基于分块对比的多尺度图像显著区域检测[J].计算机工程与应用,2016,52(6):162-166,5.

基金项目

国家自然科学基金(No.61104213)。 ()

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

访问量0
|
下载量0
段落导航相关论文