2024
DOI: 10.3390/ani14243626
|View full text |Cite
|
Sign up to set email alerts
|

Bridging the Gap Between Computational Efficiency and Segmentation Fidelity in Object-Based Image Analysis

Fernanda Pereira Leite Aguiar,
Irenilza de Alencar Nääs,
Marcelo Tsuguio Okano

Abstract: A critical issue in image analysis for analyzing animal behavior is accurate object detection and tracking in dynamic and complex environments. This study introduces a novel preprocessing algorithm to bridge the gap between computational efficiency and segmentation fidelity in object-based image analysis for machine learning applications. The algorithm integrates convolutional operations, quantization strategies, and polynomial transformations to optimize image segmentation in complex visual environments, addr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 43 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?