A Mathematical Model to Explore the Details in an Image with Local Binary Pattern Distribution (LBP)
- Title
- A Mathematical Model to Explore the Details in an Image with Local Binary Pattern Distribution (LBP)
- Creator
- Dominic D.; Balachandran K.; Xavier C.
- Description
- Mathematical understanding is required to prove the completeness of any research and scientific problem. This mathematical model will help to understand, explain and verify the results obtained in the experiment. The model in a way will portray the mathematical approach of the entire research process. This paper discusses the mathematical background of proposed prediction of lung cancer with all the parameters. Processes involved analyzing the 2D images, basic quantitative method, from, related equation and fundamental algorithmic understanding with slightly modified versions of prediction are represented in the below section with how the local binary pattern distribution can be modified so that we get reduced run time and better accuracy in the final result. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Lecture Notes in Networks and Systems, Vol-608, pp. 439-451.
- Date
- 2023-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Direction of growth; Local details pattern; Proven; Quantitative method
- Coverage
- Dominic D., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, India; Balachandran K., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, India; Xavier C., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981199224-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Dominic D.; Balachandran K.; Xavier C., “A Mathematical Model to Explore the Details in an Image with Local Binary Pattern Distribution (LBP),” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19991.