Forage grass image segmentation based on LUV-L component and Grab-Cut

文献类型： 外文期刊

第一作者： Zhang, Nan

作者： Zhang, Nan;Luo, Xiaoling;Pan, Xin;Yan, Weihong

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关键词： forage grass image; image segmentation; color space; Grab-Cut

期刊名称：2022 INTERNATIONAL CONFERENCE ON BIG DATA, INFORMATION AND COMPUTER NETWORK (BDICN 2022)

ISSN：

年卷期： 2022 年

页码：

收录情况： SCI

摘要： In order to realize the segmentation and extraction of forage image in complex background, a segmentation method based on LUV-L component and Grab-Cut is proposed. Firstly, the forage grass image is denoised and the contrast is enhanced, then make the grass image convert to LUV color space and extract the feature map of L channel. In the end, the processed feature map is segmented by Grab-Cut method. The experiment segments and extracts Agropyron cristatum (L.) Gaertn, Medicago polymorpha L. and Bromus inermis Leyss. in complex background, and the segmentation effect was good.

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