Citrus objects recognition in orchard scene using HSV methods

Yanzhi Hua; Shuqin Wu; Liling Liang; Minghui Jiang; Yong Fan; Wu Xie

doi:10.1117/12.3035257

19 July 2024 Citrus objects recognition in orchard scene using HSV methods

Yanzhi Hua, Shuqin Wu, Liling Liang, Minghui Jiang, Yong Fan, Wu Xie

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132132L (2024) https://doi.org/10.1117/12.3035257
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

There is a problem that it is always difficult for picking and spraying robots to identify the objects for such factors such as leaf occlusion, similar color and others. In this paper, based on the citrus image data set collected from the actual orchard scene, image features are extracted and a mathematical model is constructed to identify and count the number of citruses in each image, and the distribution of apples in the whole data set is displayed. A model is constructed to be used to identify and count citrus via these images with diversity of citrus colors and the complexity of the background. Firstly, the yellow mature citruses are focused on using the HSV (Hue, Saturation, Value) method for the data sets. Secondly, the empirical HSV range for two citrus fruits, cyan and yellow, was defined, and contour processing is introduced to optimize the recognition model to process more citrus image datasets. Finally, such three types of objects as immature citrus, leaves with similar colors, and citrus covered by leaves are distinguish. The research results indicate that we adopt more detailed color threshold settings and morphological operations with the eccentricity of the contour is less than0.85, and can distinguish citrus and leaves through image segmentation, and the recognition effect on citrus objects is improved.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yanzhi Hua, Shuqin Wu, Liling Liang, Minghui Jiang, Yong Fan, and Wu Xie "Citrus objects recognition in orchard scene using HSV methods", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132132L (19 July 2024); https://doi.org/10.1117/12.3035257

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KEYWORDS

Image processing

RGB color model

Image segmentation

Robots

Object recognition

Contour modeling

Data modeling

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