Zanthoxylum bungeanum Fruit Detection by Adaptive Thresholds in HSV Space for an Automatic Picking System

نویسندگان

چکیده

Zanthoxylum bungeanum is widely cultivated, and some automatic picking systems or robots are researched to pick the pepper fruit instead of human hands. The detection algorithm very important an system. HSV color space used in image segmentation. There a fixed threshold based on space, there dynamic Otsu method after images converted into gray images, because popular for pictures. After evaluation detection, we propose adaptive directly called AHT BBSV, which means Adaptive Hue Threshold, Balance Between Saturation Value. separate hue, saturation, luminance component. hue obtained according conditions whether soil, rock, image. saturation thresholds by keeping sum unchangeable. many hundreds pictures test dataset. Our proposed works well, recall rate, accuracy false alarm can separately achieve 100%, 0%. And evaluate location precision, address two metrics: ratio overlap area between region ideal region, error. our above 64%, error about 8%. All performance has been greatly improved compared with threshold.

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ژورنال

عنوان ژورنال: IEEE Sensors Journal

سال: 2023

ISSN: ['1558-1748', '1530-437X']

DOI: https://doi.org/10.1109/jsen.2023.3277042