学术
摘 要:
为了准确地得到植物受害病因及病种受害程度，提高温室病害防治的智能化，深入研究了植物病害图像处理中图像分割的方法。通过对温室黄瓜霜霉病和炭疽病的处理研究，探索出了新的多区域双峰法去除背景的方法，并利用边缘检测技术和阈值分割技术在正常部位和病害部位实现了图像的有效分割。[著者文摘]
文章出处:
《内蒙古农业大学学报：自然科学版》-2007年28卷3期 -19-22页
栏目信息:
文献标识码:
A
文章编号:
1009-3575（2007）03-0019-04
A STUDY ON THE SEGMENTATION METHOD IN IMAGE PROCESSING FOR PLANT DISEASE OF GREE NHOUSE
ZHANG Jing, WANG Shuang - xi （ School of Engineering Technology , Shanxi Agriculture University, Shanxi, Taigu,030801, China ）
Abstract:
In order to accurately get plant diseases reason and degree, improve the intellectualized diagnoses of greenhouse plant disease, the segmentation method of the image processing technology is deeply studied in this paper. By means of experiment of downy mildew and anthracnose of cucumber in greenhouse, the new way of double - humped Method with many regions for wiping off background is found, edge detection technique and threshold segmentation technique is compared in effect of the segmentation in the normal and diseases site.[著者文摘]
Key words:
Image segmentation ; plant disease ; greenhouse
基金资助:
山西省科技攻关项目（041018）.
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