A hybrid Genetic Programming approach to feature detection and image classification

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Title

A hybrid Genetic Programming approach to feature detection and image classification

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Description

© 2015 IEEE. Image classification is a crucial task in Computer Vision. Feature detection represents a key component of the image classification process, which aims at detecting a set of important features that have the potential to facilitate the classification task. In this paper, we propose a Genetic Programming (GP) approach to image feature detection. The proposed method uses the Speeded Up Robust Features (SURF) method to extract features from regions automatically selected by GP, and a...

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Other

Date created

06 Oct, 2020

Creator

Andrew Lensen / Harith Al-Sahaf / Mengjie Zhang / Bing Xue

URL

https://figshare.com/articles/conference_contribution/A_hybrid_Genetic_Programming_approach_to_fe...

Related subjects

Science & Technology / Technology / Computer Science, Artificial Intelligence / Engineering, Electrical & Electronic / Imaging Science & Photographic Technology / Computer Science / Engineering / RECOGNITION / RETRIEVAL / OBJECTS / Uncategorized

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