Research on Target Extraction Technology of Fruit and Vegetable Images in the Complex Environment View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Yanqing Wang , Hao Zheng

ABSTRACT

Considering the difficulty of fruit and vegetable images with uneven illumination and uncontrolled backgrounds, this paper proposed an image preprocess algorithm based on visual subject detection. Firstly, we can use manifold ranking to significance test and to acquire significance images, then use gradient images and position weighting to get cutting images, finally adjust the image brightness and remove image noise to complete the image preprocessing. The experiment results demonstrated the robustness and real-time of the proposed algorithm which can segment images accurately and the accuracy is higher than 91%. More... »

PAGES

708-717

Book

TITLE

Data Science

ISBN

978-981-10-6384-8
978-981-10-6385-5

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-10-6385-5_59

DOI

http://dx.doi.org/10.1007/978-981-10-6385-5_59

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091806428


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