Genetic Programming for algae detection in river images

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Title

Genetic Programming for algae detection in river images

Content partner

Victoria University of Wellington

Collection

Open Access Victoria University of Wellington

Description

© 2015 IEEE. Genetic Programming (GP) has been applied to a wide range of image analysis tasks including many real-world segmentation problems. This paper introduces a new biological application of detecting Phormidium algae in rivers of New Zealand using raw images captured from the air. In this paper, we propose a GP method to the task of algae detection. The proposed method synthesises a set of image operators and adopts a simple thresholding approach to segmenting an image into algae and ...

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Format

Research paper

Research format

Scholarly text / Conference item

Date created

2015

Creator

Andrew Lensen / Harith Al-Sahaf / Mengjie Zhang / B Verma

URL

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

Related subjects

Science & Technology / Technology / Computer Science, Artificial Intelligence / Computer Science / PIXEL CLASSIFICATION / OBJECT DETECTION / SEGMENTATION / ALGORITHM

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