Image Retrieval Algorithm Based on Fractal Coding

Guo, Hui; He, Jie; Xu, Caixu; Li, Dongling

doi:10.1007/978-3-031-04409-0_24

Machine Learning and Intelligent Communications

2022

DOI: 10.1007/978-3-031-04409-0_24

|View full text |Cite

Image Retrieval Algorithm Based on Fractal Coding

Hui Guo

Jie He²,

Caixu Xu³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Exploring the Role of Fractal Geometry in Engineering Image Processing Based on Similarity and Symmetry: A Review

Song,

Wang,

Jiang

et al. 2024

Symmetry

View full text Add to dashboard Cite

Fractal geometry theory has been widely used in engineering image processing. In this work, the basic principles and features of fractal geometry are first introduced and its importance in image processing is explained. The features of the symmetry and asymmetry of images are represented in fractal geometry and symmetry scaling is utilized to deal with image processing problems in engineering applications. Subsequently, specific applications of fractal geometry in engineering image processing are discussed in detail in terms of image compression, edge detection, texture analysis, and image reconstruction and restoration. The exploration of these applications reveals the advantages and usefulness of fractal geometry theory in image processing, and it is found that the image has certain symmetry and self-similarity, which is conducive to the establishment of mathematical models for the statistics of graphic contours and shapes. Finally, the unique value of fractal geometry in engineering image processing is further emphasized by comparing the innovations of fractal geometry with traditional image processing methods, which prompts the in-depth consideration of its potential value in this field. This paper provides new insights and directions for the research of engineering image processing, which is of positive significance for future research.

show abstract

Exploring the Role of Fractal Geometry in Engineering Image Processing Based on Similarity and Symmetry: A Review

Song,

Wang,

Jiang

et al. 2024

Symmetry

View full text Add to dashboard Cite

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.

Image Retrieval Algorithm Based on Fractal Coding

Cited by 1 publication

References 3 publications

Exploring the Role of Fractal Geometry in Engineering Image Processing Based on Similarity and Symmetry: A Review

Exploring the Role of Fractal Geometry in Engineering Image Processing Based on Similarity and Symmetry: A Review

Contact Info

Product

Resources

About