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

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

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 ana...

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Bibliographic Details
Main Authors: Fernanda Pereira Leite Aguiar, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Animals
Subjects:
automated feature extraction
computational efficiency
image quantization
image segmentation
machine learning optimization
metadata generation
Online Access:https://www.mdpi.com/2076-2615/14/24/3626
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