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2016 | OriginalPaper | Buchkapitel

10. Apple Nighttime Images Enhancement Algorithm for Harvesting Robot

verfasst von : Xingqin Lv, Bo Xu, Wei Ji, Gang Tong, Dean Zhao

Erschienen in: Proceedings of the 2015 Chinese Intelligent Systems Conference

Verlag: Springer Berlin Heidelberg

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Abstract

In order to enhance the applicability and efficiency of harvesting robot to ensure that people can timely pick ripe fruit, the robot need to have an ability of continuous recognition and harvest at night. For some disadvantages of night vision images, Retinex algorithm for image enhancement based on bilateral filter is presented. Bilateral filter which has a function of edge preservation is adopted to improve the smooth, evaluate the illumination and remove unfavorable illumination effects from the original image. Then the reflectance of the image from above that contains just the characteristics of the object itself can be obtained. Finally, apple nighttime image enhancement is implemented. The experimental results show that the above method can more accurately evaluate the illumination of high-contrast edge regions, to suppress noise, enhance image contrast and improve overall visual effects of the image.

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Metadaten
Titel
Apple Nighttime Images Enhancement Algorithm for Harvesting Robot
verfasst von
Xingqin Lv
Bo Xu
Wei Ji
Gang Tong
Dean Zhao
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-48386-2_10