When an object is affected by illumination and noise, traditional methods of image feature group enhancement are mismatched and the accuracy of feature group enhancement is poor. Therefore, a feature group enhancement method for three-dimensional images with overlap fuzzy based on Scale-invariant feature transform (SIFT) algorithm is proposed. Firstly, the scale space of multi-view images is constructed. Next, extreme points are detected and screened to determine the main direction of key points. An image SIFT that is used to describe a sub-feature vector to prevent noise and edge response is generated. Then, overlap fuzzy features of multi-view image are internally and externally normalized. Features are highlighted and the effects of illumination are eliminated by measuring the similarity. Finally, different weights are given to overlap fuzzy features of multi-view images to achieve matching and feature group enhancement. Experimental results show that the proposed method achieves the matching and feature group enhancement process under different illumination conditions and noise environment. Furthermore, the proposed method improves feature group enhancement efficiency and feature group enhancement accuracy.
Multi-view Image Overlap Fuzzy feature Group enhancement
This is a preview of subscription content, log in to check access.
Abbas Y, Tariq M, Khan OU (2015) Improving Object Localization via Accurate Distance Estimation in Wireless Multimedia Sensor Networks, in PLOSONE 10:1–18Google Scholar
Abbas Y, Tariq M, Sato T (2016) A Novel Energy Efficient Object Detection and Image Transmission Approach for Wireless Multimedia Sensor Networks, in IEEE Sensor 16(15):5942–5949Google Scholar
Das D, Mukhopadhyay S, Praveen SRS (2017) Multi-scale contrast enhancement of oriented features in 2D images using directional morphology. Opt Laser Technol 87:51–63CrossRefGoogle Scholar
Dwivedi AD, Srivastava G, Dhar S et al (2019) A decentralized privacy-preserving healthcare blockchain for IoT. Sensors 19(2):326CrossRefGoogle Scholar
Gaocheng L, Shuai L, Khan M et al (2018) Object Tracking in Vary Lighting Conditions for Fog based Intelligent Surveillance of Public Spaces. IEEE Access 6:29283–29296CrossRefGoogle Scholar
Jaegle L (2017) Multi-year composite view of ozone enhancements and stratosphere-to-troposphere transport in dry intrusions of northern hemisphere extratropical cyclones. J Geophys Res Atmos 122(24):13436CrossRefGoogle Scholar
Keyes SD, Gostling NJ, Cheung JH et al (2017) The Application of Contrast Media for In Vivo Feature Enhancement in X-Ray Computed Tomography of Soil-Grown Plant Roots. Microsc Microanal 23(3):1–15CrossRefGoogle Scholar
Zheng P, Shuai L, Arun S et al (2018) Visual attention feature (VAF) : A novel strategy for visual tracking based on cloud platform in intelligent surveillance systems. Journal of Parallel and Distributed Computing 120:182–194CrossRefGoogle Scholar