A segmentation method for greenhouse vegetable foliar disease spots images using color information and region growing

文献类型： 外文期刊

第一作者： Ma, Juncheng

作者： Ma, Juncheng;Du, Keming;Zheng, Feixiang;Chu, Jinxiang;Sun, Zhongfu;Zhang, Lingxian

作者机构：

关键词： Greenhouse vegetables;Foliar disease spots;CCF;Region growing;Image segmentation

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：5.565； 五年影响因子：5.494 ）

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收录情况： SCI

摘要： This paper presents a novel image processing method using color information and region growing for segmenting greenhouse vegetable foliar disease spots images captured under real field conditions. Disease images captured under real field conditions are suffering from uneven illumination and complicated background, which is a big challenge to achieve robust disease spots segmentation. A disease spots segmentation method consisting of two pipelined procedures is proposed in this paper. Firstly a comprehensive color feature and its detection method are presented. The comprehensive color feature (CCF) consists of three color components, Excess Red Index (ExR), H component of HSV color space and b* component of L*a*b* color space, which implements powerful discrimination of disease spots and clutter background. Then an interactive region growing method based on the CCF map is used to achieve disease spots segmentation from clutter background. To evaluate the robustness and accuracy, the proposed segmentation method is assessed by cucumber downy mildew images. Results show that the proposed method can achieve accurate and robust segmentation under real field conditions. (c) 2017 Elsevier B.V. All rights reserved.

分类号： S

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