Sensors, Vol. 19, Pages 4091: Lychee Fruit Detection Based on Monocular Machine Vision in Orchard Environment

Sensors, Vol. 19, Pages 4091: Lychee Fruit Detection Based on Monocular Machine Vision in Orchard Environment Sensors doi: 10.3390/s19194091 Authors: Qiwei Guo Yayong Chen Yu Tang Jiajun Zhuang Yong He Chaojun Hou Xuan Chu Zhenyu Zhong Shaoming Luo Due to the change of illumination environment and overlapping conditions caused by the neighboring fruits and other background objects, the simple application of the traditional machine vision method limits the detection accuracy of lychee fruits in natural orchard environments. Therefore, this research presented a detection method based on monocular machine vision to detect lychee fruits growing in overlapped conditions. Specifically, a combination of contrast limited adaptive histogram equalization (CLAHE), red/blue chromatic mapping, Otsu thresholding and morphology operations were adopted to segment the foreground regions of the lychees. A stepwise method was proposed for extracting individual lychee fruit from the lychee foreground region. The first step in this process was based on the relative position relation of the Hough circle and an equivalent area circle (equal to the area of the potential lychee foreground region) and was designed to distinguish lychee fruits growing in isolated or overlapped states. Then, a process based on the three-point definite circle theorem was performed to extract individual lychee fruits from the foreground regions of overlapped lychee fruit clusters. Finally, to enhan...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research