【摘 要】
：
Leaves are the main organs for plant photosynthesis and transpiration,and thus accurate and rapid measurements of their surface area are of great significan
【出 处】
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第十一届图像图形技术与应用学术会议(IGTA2016)
论文部分内容阅读
Leaves are the main organs for plant photosynthesis and transpiration,and thus accurate and rapid measurements of their surface area are of great significance in plant growth studies.A novel method was developed to utilize computer vision to determine the leaf projected area for potted plants using a reference object.During leaf extraction,the excess green vegetation index and the Otsu algorithm were used for image binarization.Blob analysis was then performed to eliminate noise and extract leaf images.After grey level transform and obtaining the binary image,the Sobel operator and Hough transform were utilized to detect pots external boundary.The image including the extracted leaves and the detected reference borders were then processed using a Geometric correction to improve the measurement accuracy,and based on this,the leaf projected area was calculated.Results of the experimental image showed that this newly proposed method proved is effective and can continuously measure the plants leaf area for non-destructive monitoring.
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