Saliency Feature Extraction Method Based on Multi-scale Region Covariance

Authors

Shimin Wang, School of Computer Information and Engineering, Jiangxi Normal University, Nanchang 330022, China;
Jihua Ye, School of Computer Information and Engineering, Jiangxi Normal University, Nanchang 330022, China;
Mingwen Wang, School of Computer Information and Engineering, Jiangxi Normal University, Nanchang 330022, China;
Jiali Zuo, School of Computer Information and Engineering, Jiangxi Normal University, Nanchang 330022, China;
Changhong Liu, School of Computer Information and Engineering, Jiangxi Normal University, Nanchang 330022, China;

Abstract

Abstract: In order to solve the problem that the saliency detection target boundary is vague, the paper proposes a saliency feature extraction method based on multi-scale region covariance. This method firstly extracts the multi-scale features of an image, then combines region covariance to extract the image bottom features, calculates the image’s multi-scale uncertainty weights, and the weights are optimized for the final saliency features, which are obtained by fusion. In the paper, our proposed model compares the experimental results with the commonly used feature extraction algorithms. The experimental results show that the proposed algorithm is closer to the actual boundary of the object, the different weight is given to the different multi-scale in the process of multi-scale regional covariance saliency feature extraction, which could enhance the part that is focused by human eyes on the image, and the effect of saliency feature extraction can be improved.

Recommended Citation

Wang, Shimin; Ye, Jihua; Wang, Mingwen; Zuo, Jiali; and Liu, Changhong (2019) "Saliency Feature Extraction Method Based on Multi-scale Region Covariance," Journal of System Simulation: Vol. 30: Iss. 7, Article 42.
DOI: 10.16182/j.issn1004731x.joss.201807042
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss7/42

First Page

2767

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201807042

Last Page

2775

CLC

TP301

Recommended Citation

Wang Shimin, Ye Jihua, Wang Mingwen, Zuo Jiali, Liu Changhong. Saliency Feature Extraction Method Based on Multi-scale Region Covariance[J]. Journal of System Simulation, 2018, 30(7): 2767-2775.

DOI

10.16182/j.issn1004731x.joss.201807042