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The research contributes to the performance of X-Ray Transmission sensor-based sorting process during diamond sorting. The aim is to overcome the shortcomings of the current baseline methods for detection of small highly overlapped and irregular shaped rock particles that could go undetected as part of the waste recovery process. Most methods work well when approximate shape and size is well known and particles are not highly overlapped. However due to challenges of over-segmentation or under-segmentation, several image segmentation techniques are explored in order to propose a new and improved segmentation process that aims to reduce false negatives and false positives, thus improving performance and efficiency of the waste recovery process. This reports on classical methods explorations and preliminary experiments on the ongoing research.

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Segmentation of Irregular Overlapping Particles in X-Ray Transmission Images: Classical Techniques Exploration

  • 会议论文

  • 发表日期：

    2026年

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  • Tsholofetso Taukobong,
  • Audrey Naledi Masizana,
  • George Anderson

摘要

The research contributes to the performance of X-Ray Transmission sensor-based sorting process during diamond sorting. The aim is to overcome the shortcomings of the current baseline methods for detection of small highly overlapped and irregular shaped rock particles that could go undetected as part of the waste recovery process. Most methods work well when approximate shape and size is well known and particles are not highly overlapped. However due to challenges of over-segmentation or under-segmentation, several image segmentation techniques are explored in order to propose a new and improved segmentation process that aims to reduce false negatives and false positives, thus improving performance and efficiency of the waste recovery process. This reports on classical methods explorations and preliminary experiments on the ongoing research.