BEYOND PIXELS: ADVANCEMENTS IN IMAGE ANALYSIS THROUGH CLASSIFICATION AND FUSION TECHNIQUES
Abstract
In the realm of image analysis, advancements in classification and fusion techniques have revolutionized the way we extract information from visual data. This paper explores the latest developments in image analysis, focusing on cutting-edge methods for classification and fusion. Classification techniques, including machine learning algorithms and deep neural networks, enable accurate categorization of image content, facilitating tasks such as object recognition and scene understanding. Additionally, fusion techniques integrate information from multiple sources or modalities, enhancing the richness and reliability of image analysis results. By combining classification and fusion approaches, researchers and practitioners can unlock new capabilities in image understanding, enabling applications ranging from medical diagnostics to satellite imagery interpretation. This paper provides a comprehensive overview of state-of-the-art techniques in image analysis, highlighting their potential impact across various domains.
Keywords
Image analysis, Classification techniques, Fusion techniquesHow to Cite
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