Study on extraction of key features of sugar orange phenotype

Shilong Wang; Jinghuan Zhu

doi:10.1117/12.2684489

1 August 2023 Study on extraction of key features of sugar orange phenotype

Shilong Wang, Jinghuan Zhu

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127542W (2023) https://doi.org/10.1117/12.2684489
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

Efficient and accurate segmentation of the basic features in the image of sugar orange is the primary work for intelligent classification of sugar orange. In order to achieve the purpose of grading according to the key quality characteristics of sugar orange, the peel region, fruit stalk region and peduncle region were segmented respectively, and the basic feature information of each region was extracted. Firstly, the background of the feature image was segmented, and then the fruit diameter, shape, ripeness, texture, color distribution and other features were extracted for grading.

Citation Download Citation

Shilong Wang and Jinghuan Zhu "Study on extraction of key features of sugar orange phenotype", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127542W (1 August 2023); https://doi.org/10.1117/12.2684489

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