Calculation Method Based on Flower Petal Area and Other Plant Leaf Spot Area

In order to calculate the area of irregular shapes such as plant leaves and diseased spots or flower petals, this paper presents a new method to calculate them by using flood fill algorithm, HSV color space, improved k-means algorithm and morphological operation. First, 501 butterfly petal images and pathological leaf images of Bauhinia and phyllotaxus were collected, and then flood was used Fill algorithm selects the disease-free area and records the selected pixel value. HSV color space conversion is applied to the image to facilitate the segmentation of leaves. Then, the improved k-means algorithm is used to extract the binary image of leaves and record the pixel value of the outer contour with morphological closed operation. Finally, the proportion and truth of the disease spots of plant leaves are obtained by calculating the pixel value and the real value of the rectangle in the sampling area Real area. Compared with the results of artificial labeling, the average accuracy of petal area and lesion area of Phalaenopsis was 96.3% and 96.61%, respectively. It can be seen that the program can calculate the area of irregular shape of plant surface accurately. In conclusion, this method can replace the artificial grid method to calculate the information of plant leaf area and disease proportion, and effectively reduce the work intensity of experimental personnel.

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Publication Details

Journal
Engineering and Applied Sciences
Published
2024-11-12
DOI
https://doi.org/10.11648/j.eas.20240906.11
Primary Topic
Leaf Properties and Growth Measurement
Type
article
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article

Calculation Method Based on Flower Petal Area and Other Plant Leaf Spot Area

Shengjian Ma, Junxian Guo, Jian Wang
Engineering and Applied Sciences
Leaf Properties and Growth Measurement
article

Calculation Method Based on Flower Petal Area and Other Plant Leaf Spot Area

Shengjian Ma, Junxian Guo, Jian Wang
article en

Abstract

In order to calculate the area of irregular shapes such as plant leaves and diseased spots or flower petals, this paper presents a new method to calculate them by using flood fill algorithm, HSV color space, improved k-means algorithm and morphological operation. First, 501 butterfly petal images and pathological leaf images of Bauhinia and phyllotaxus were collected, and then flood was used Fill algorithm selects the disease-free area and records the selected pixel value. HSV color space conversion is applied to the image to facilitate the segmentation of leaves. Then, the improved k-means algorithm is used to extract the binary image of leaves and record the pixel value of the outer contour with morphological closed operation. Finally, the proportion and truth of the disease spots of plant leaves are obtained by calculating the pixel value and the real value of the rectangle in the sampling area Real area. Compared with the results of artificial labeling, the average accuracy of petal area and lesion area of Phalaenopsis was 96.3% and 96.61%, respectively. It can be seen that the program can calculate the area of irregular shape of plant surface accurately. In conclusion, this method can replace the artificial grid method to calculate the information of plant leaf area and disease proportion, and effectively reduce the work intensity of experimental personnel.

Engineering and Applied SciencesVol. 9(6)
Lingnan Normal University (CN), Xinjiang Agricultural University (CN)
Openalex Percentile: Top 89%
Leaf Properties and Growth Measurement
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Calculation Method Based on Flower Petal Area and Other Plant Leaf Spot Area — Shengjian Ma, Junxian Guo, et al. · Engineering and Applied Sciences (2024) | TGRS Research Map | TGRS