An Integrating Computational Approach Review to Analyse the Biological Functions

Kimothi, Sanjeev; Joshi, Pooja; Shukla, Sunil; Kumar, Rajiv; Ahmad, Ishteyaaq; Memoria, Minakshi

doi:10.1109/incacct57535.2023.10141836

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Other2

Article1

Relationship

Self Cite1

Independent2

Authors

Journals

Cited by 3 publications

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Role and Application of Ribs in Solar Air Heater

Singh,

Joshi,

Kumar

et al. 2023

2023 6th International Conference on Contemporary Computing and Informatics (IC3I)

View full text Add to dashboard Cite

Role and Application of Ribs in Solar Air Heater

Singh,

Joshi,

Kumar

et al. 2023

2023 6th International Conference on Contemporary Computing and Informatics (IC3I)

View full text Add to dashboard Cite

Navigating the Blockchain Landscape: Role, Challenges, Risks, and Issues in the Banking and Finance Sector

Kumar,

Saini,

Vishwakarm

et al. 2023

2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)

View full text Add to dashboard Cite

2D Discrete Wavelet Transformation (2D-DWT) for Nanoscale Morphological Analysis

Bhatt,

Kumar,

Hassan

et al. 2023

Prabha Materials Science Letters

Self Cite

View full text Add to dashboard Cite

Digital image processing nowadays is widely used in various applications in micro to macro scale such as Nano-structure for medical, defense, natural resource management, security purposes. This article reviewed the 2-Dimensional Discrete Wavelet Transformation (2D-DWT) for morphological analysis of Scanning Electron Microscope (SEM) image of Ni-P-CNF nanocomposite plated on mild steel substrate (grade AISI1040) for analyzing the multi-level decomposition, denoising and compression test. It was concluded that the 2D-DWT method is more efficient and precise as compared to the conventional methods like Power Spectral Density (PSD) and histogram equivalence. These methods are limited by the Heisenberg uncertainty principle, whereas, the wavelet theorem provides a multi-resolution analysis. The wavelet function can capture localized characteristics and transients in the data since it is often localized in both time and frequency. These features make wavelets ideal for storing transient and steady-state components of a signal or image, allowing them to simultaneously offer excellent time and frequency localization. SEM images usually contain huge information which can lead to computational complexities. 2D-DWT is a very effective tool to de-noise the image. In order to test its efficiency, we have intentionally added some noise in the image and de-noise it. Also, we have compressed the image at different at different levels. This study provides the utility of the 2D-DWT for image processing as well as compared with other approaches for image decomposition, denoising and image compression.

show abstract

An Integrating Computational Approach Review to Analyse the Biological Functions

Cited by 3 publications

References 61 publications

Role and Application of Ribs in Solar Air Heater

Role and Application of Ribs in Solar Air Heater

Navigating the Blockchain Landscape: Role, Challenges, Risks, and Issues in the Banking and Finance Sector

2D Discrete Wavelet Transformation (2D-DWT) for Nanoscale Morphological Analysis

Contact Info

Product

Resources

About