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Research Methodology of Plant Leaf Measurement

Author: HuDi
Tutor: YuanZuoZuo
School: Shenyang University of Technology
Course: Signal and Information Processing
Keywords: image processing leaf parameter measurement moment boundary chain code corner detection
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 140
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Abstract


As leaf is the main channel for plant’s photosynthesis and transpiration and much information about plant growth situation has close relation with shape features of leaf, establishing a scientific, accurate and fast measurement method of leaf parameters is of great significance to leaf living organisms such as growth and development. With the development of digital image processing technology and the improvement of the computer processing speed, they have been widely applied in agriculture field. They can improve the measurement efficiency and change the disadvantages of the traditional technology, such as low speed, low accuracy and poor real-time performance.On the base of the analysis of leaf image, methods on the leaf image collection, preprocessing, the segmentation of leaf blade and stalk, the measurement of leaf parameters and the analysis of leaf shape have been proposed in this paper. First, a leaf image is obtained by the scanner. In the stage of image preprocessing, in consideration of the characteristics of the leaf image, we adopt thresholding to get the binary image, and further improve the quality of the image with binary morphology method. Then in the stage of the leaf parameter concrete measurement, simultaneous measurement of several leaves has been achieved by applying nonzero pixel group labeling. We bring about automatic segmentation between leaf blade and stalk by considering the shape features of them. Leaf area is calculated by means of pixel counting. Besides, eight directional boundary chain code is used to represent leaf contour shape and leaf perimeter is computed on this code. Considering minimum enclosing rectangle, we measure the leaf length and width by using the method based on moment. In addition, the analysis of leaf shape is done according to each parameter of leaf. Last, the tooth detection algorithm is designed on the architectural feature of leaf teeth and the chain code of leaf contour.In order to study the measurement technology of plant leaf more conveniently, a set of simulation system of automatical measurement for plant leaf parameters based on scanner has been realized in this paper by using the image processing toolbox and GUI function provided by MATLAB. It can automatically measure the length, width, area and perimeter of leaf, leaf blade and stalk. Furthermore, it could analyze the leaf shape and detect the teeth. Experiments have been done on collected leaf images with the method mentioned in this paper and the results show that the measurement error of perimeter is less than 4% and that of area is less than 2%. The measurement accuracy of length and width is up to 98.4% and the accuracy of tooth detection is about 85%. Meanwhile, the measurement time of all the parameters of most leaves is less than one second. Compared to other methods, this measurement system is more advantaged because it wins high operation speed, accurate data and it is simple to operate.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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