Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection
| Autor: | Jiexin Pu, Guo-Sen Xie, Dong Yongsheng, Wang Xiangluo, Lingfei Liang, Zhonghua Liu, Chunlei Yang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Similarity (geometry)
business.industry Computer science Locality ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Boundary (topology) 020206 networking & telecommunications Pattern recognition 02 engineering and technology Image (mathematics) Signal Processing 0202 electrical engineering electronic engineering information engineering Media Technology Graph (abstract data type) Adjacency list 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Noise (video) Artificial intelligence Electrical and Electronic Engineering business Cluster analysis |
| Zdroj: | Journal of Visual Communication and Image Representation. 56:27-37 |
| ISSN: | 1047-3203 |
| DOI: | 10.1016/j.jvcir.2018.08.017 |
| Popis: | Recent years have witnessed great progress of salient object detection methods. However, due to the emerging complex scenes, two problems should be solved urgently: one is on the fast locating of the foreground while preserving the precision, and the other is about reducing the noise near the foreground boundary in saliency maps. In this paper, a hybrid method is proposed to ameliorate the above two issues. At first, to reduce the essential runtime of integrating the prior knowledge, a novel Prior Knowledge Learning based Region Classification (PKL-RC) method is proposed for classifying image regions and preliminarily locating foreground; furthermore, to generate more accurate saliency, a Locality-constrained Linear self-Coding based Region Clustering (LLsC-RC) model is proposed to improve the adjacency structure of the similarity graph for Manifold Ranking (MR). Experimental results demonstrate the effectiveness and superiority of the proposed method in both higher precision and better smoothness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect