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2015 | OriginalPaper | Chapter

75. Image Retrieval of Poisonous Mushrooms Based on Relevance Feedback and Clustering Algorithm

Authors : Hongbo Luo, Sujuan Zhou

Published in: Proceedings of the Second International Conference on Mechatronics and Automatic Control

Publisher: Springer International Publishing

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Abstract

Poisonous mushrooms have no significant difference with the edible fungus. In this paper, image retrieval technology based on color, shape and texture characteristic are applied to identify poisonous mushrooms With relevance feedback mechanism and clustering algorithm used to improve the retrieval efficiency. Clustering can divide similar images into a same class and greatly reduce the range of image retrieval. From the retrieved image, representative clustering images are selected to the users who can choose a satisfactory clustering from them and provide feedback to the system. Experimental results with this method show effectiveness of identifying unknown poisonous mushrooms.

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Metadata
Title
Image Retrieval of Poisonous Mushrooms Based on Relevance Feedback and Clustering Algorithm
Authors
Hongbo Luo
Sujuan Zhou
Copyright Year
2015
Book
Proceedings of the Second International Conference on Mechatronics and Automatic Control

Print ISBN: 978-3-319-13706-3

Electronic ISBN: 978-3-319-13707-0

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-13707-0_75