1 November 1998 Brightness-invariant image segmentation for on-line fruit defect detection
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Abstract
The extraction of defective segments from fruit images is a critical step for on-line fruit defect detection using machine vision. To accommodate the gradient reflectance characteristics of objects with curved surfaces such as apples and to avoid the defect inspection error due to the natural brightness variability of fruit, a novel and practical brightness-invariant image segmentation method is developed. Experimental results from our vision-sorting system show that the proposed method is effective for large-scale multiple-line processing of massive numbers of apples.
James Zhiqing Wen, James Zhiqing Wen, Yang Tao, Yang Tao, } "Brightness-invariant image segmentation for on-line fruit defect detection," Optical Engineering 37(11), (1 November 1998). https://doi.org/10.1117/1.601882 . Submission:
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