Controlled lighting and illumination-independent target detection for real-time cost-efficient applications. the case study of sweet pepper robotic harvesting

HIGHLIGHTS

  • who: Boaz Arad and colleagues from the Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel have published the article: Controlled Lighting and Illumination-Independent Target Detection for Real-Time Cost-Efficient Applications. The Case Study of Sweet Pepper Robotic Harvesting, in the Journal: Sensors 2019, 19, 1390 of /2019/
  • what: Analysis of ripe peppers' hue and saturation distribution in Flash-only and FNF images revealed a significant reduction in variability for FNF images, suggesting higher color stability.
  • how: To evaluate performance the following measures were calculated.
 

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