基于计算机视觉的重叠花朵检测

Deepti Koolwal, P. Jain, Ankit Agarwal
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引用次数: 0

摘要

增强图像处理和人体结构建模程序的应用对视频监控的发展起到了巨大的作用。在这里,我们提出了一种用于重叠花朵产量检测的视频监控方法。在这篇文章中,一个数字图表被视为站在处理花床垫为花产量检测。花型的范围保持与黄色,紫色和深红色的花瓣在每一种情况下分别研究考虑。考虑了一些有效的参数,如花的尺寸、花瓣的数量等。在颜色建模之后,形态学操作全部利用膨胀,侵蚀,打开和关闭算法,以消除数码相机熟悉图像中的任何虚假噪声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer Vision Based Overlapped Flowers Detection
Applications of enhanced photograph processing and human structure modeling procedures performed mammoth function in advancement of Video surveillance. Right here we are presenting a proposed video surveillance approach for overlapped flower yield detection. In this article a digicam is viewed standing dealing with a flower mattress for flower yield detection. Range of flower types are maintained together with yellow, purple and crimson petals in each state of affairs respectively for study consideration. For candidature of yieldable some valid parameters are considered such as flower dimension, quantity of petals etc. After color modeling, morphological operations entire utilizing dilation, erosion, opening and closing algorithms for removing of any spurious noise with-in a digicam acquainted images.
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