Plant blade feature analysis system based on image scanning

A technology of plant leaves and images, applied in the field of disease spot analysis

Active Publication Date: 2016-04-06
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is how to find a method that can accurately segment the leaf image, and at the same time solve the problem of intelligent segmentation of petioles and leaves, and overcome the defects in the existing leaf segmentation methods

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  • Plant blade feature analysis system based on image scanning
  • Plant blade feature analysis system based on image scanning
  • Plant blade feature analysis system based on image scanning

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Embodiment Construction

[0079] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. like figure 1 As shown, the rectangular frame represents the processing steps, and the solid line represents the data processing flow.

[0080] A plant leaf feature analysis system based on scanned images, which comprises the following steps:

[0081] (1), image preprocessing

[0082] Perform image preprocessing on the leaf image obtained from the scanner to remove the noise existing in the image;

[0083] (2) Leaf image feature analysis and calculation

[0084] ①Threshold segmentation is performed on the preprocessed image by Dalu law to obtain a binary image;

[0085] ②Using morphological filters to process the obtained binary image to realize the automatic segmentation of leaves and petioles;

[0086] ③ Perform morphological gradient detection on the image obtained after morphological filtering to obtain the contours of the leaves and petioles; th...

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Abstract

The invention discloses a plant leaf feature analysis system based on image scanning, which includes the following steps: (1), image preprocessing, (2), leaf image feature analysis and calculation, (3), leaf template matching, (4) , Color clustering, (5), lesion analysis. The invention has a high level of automation, reduces the manual operation in the analysis process, improves the degree of automation, and avoids the error introduced by manual operation; compared with the traditional canny operator and compass operator, it has faster execution Efficiency; with high accuracy. It can perform automatic completion operation on residual leaves, and can automatically calculate the completed area of ​​residual leaves.

Description

technical field [0001] The present invention relates to the field of morphological image processing and the field of botany, in particular to a detection method for segmenting and processing leaf images using digital morphological technology, extracting contour feature values ​​of images, performing template matching on leaves, color clustering and lesion spots analyze. Background technique [0002] As the main parameter for calibrating the physiological and biochemical reaction processes such as plant growth and development, growth, genetic characteristics, leaf area is widely used in agricultural scientific research services and production. In agricultural meteorological experiments, research and routine operational observations, leaf area is the main index to measure crop growth and growth dynamics, and can provide effective, scientific and applicable data for agricultural meteorological information services. The traditional methods of measuring leaf area mainly include ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 刘贵松屈鸿邱钊蔡庆解修蕊陈文宇王晓彬
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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