Performance Analysis of the Bio-inspired Algorithm with Adaptive Recursive Denoising

Ramya, A.; Kumar, T. Ganesh; Murugan, D.

doi:10.1109/ccaa.2018.8777461

Cited by 1 publication

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results offer that CS supply better-quality segmented images compare to traditional cluster K-means algorithm in terms of accounting for PSNR, computational time, fitness values and the values of quality parameters. Ramya et al [21] proposed methodology that used Adaptive Switching Weighted Median (ASWM) Filter cascaded with CS algorithm to reduce the mean absolute error of mammogram breast image which is highly corrupted by impulse noise density. The experimental result gives the noticeable result with high impulse noise density up to 90% and the visible result offer the improvement in the inner part of the edges and preserve the structural features sharpen.…”

Section: Preceding Studies Of Using Cs In the Scope Of Image Processingmentioning

confidence: 99%

An overview of Cuckoo Optimization Algorithm based Image Processing

sulaiman

2022

AL-Rafidain Journal of Computer Sciences and Mathematics

View full text Add to dashboard Cite

The Cuckoo Search (CS) algorithm is an effective swarm intelligence optimization algorithm whose important developments were presented by Yang and Deb in 2009. The CS algorithm has been used in many applications to solve optimization problems. This paper describes an overview of the applications of CS in the scope of image processing to solve optimization problems for the image during the years 2015-2021. The main categories reviewed that used CS in the field of image processing are: image segmentation, image optimization, image noise removal, image classification, feature extraction in images, image clustering and edge detection. The aim of this paper is to provide an overview and summarize the literature review of applying CS algorithm in these categories in order to extract which categories that applied this algorithm more than others. From this review we conclude that CS was mostly applied in the image segmentation category to optimize the threshold search.

show abstract

Section: Preceding Studies Of Using Cs In the Scope Of Image Processingmentioning

confidence: 99%

An overview of Cuckoo Optimization Algorithm based Image Processing

sulaiman

2022

AL-Rafidain Journal of Computer Sciences and Mathematics

View full text Add to dashboard Cite

show abstract

Performance Analysis of the Bio-inspired Algorithm with Adaptive Recursive Denoising

Cited by 1 publication

References 11 publications

An overview of Cuckoo Optimization Algorithm based Image Processing

An overview of Cuckoo Optimization Algorithm based Image Processing

Contact Info

Product

Resources

About