ISAR images tracking for extended small vehicles using cubature Kalman MB filter

This article aims to explore the possibility of using the Kalman filter to filter images. The relevance of the study lies in the fact that at present the tasks of image processing have become of great importance in many areas, such as industry, science, medicine, space industry and agriculture. Methods for improving image quality are of great applied and scientific interest for the agricultural sector, since machine vision methods are now widely used in assessing the condition of agricultural plants, soil condition, sorting of agricultural products, controlling unmanned agricultural machines, etc. The purpose of this work is to develop an algorithm and software for filtering grayscale images. The article consists of four parts: Introduction, Materials and methods, Results, Conclusions. The first part describes the relevance of the topic, discusses the reasons for obtaining noisy images. The second part describes the Kalman filter algorithm as applied to image filtering problems. In the third part, the results of the software implementation of the developed algorithm are considered, which make it possible to evaluate the quality of image filtering. In the fourth part conclusions are drawn and summed up. The main results of the work are the algorithmic implementation of noise removal from halftone images grayscale images using a software tool developed as part of these studies.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

ISAR images tracking for extended small vehicles using cubature Kalman MB filter

Cited by 3 publications

References 34 publications

A modified atmospheric scattering model and degradation image clarification algorithm for haze environments

A modified atmospheric scattering model and degradation image clarification algorithm for haze environments

2-D inverse synthetic aperture Ladar imaging and tracking of maneuvering extended Micro-Doppler UAVs in atmospheric turbulence with skewness

Filtering grayscale images using the Kalman filter

Contact Info

Product

Resources

About