Hardware-Reconfigurable Morphology Image Processor for Ultra-High Speed Vi Sion Inspection

Project Details


The existing morphological image processing hardware acceleration method, due to the lack of flexiblereconfigurable architecture, the hardware cannot be adapted to new target application once the applicationrequirement is established, so it is difficult to widely used in industrial real-time vision inspection tasks withcontinued demand change. The project will design a hardware-reconfigurable morphological image processor(MIP). Its architecture consists of a set of extensible, cascaded Morphology Function Blocks (MFBs), wandan innovative pipeline controller to implement hardware reconfigurable ultra-high speed morphologicalimage processors. Once the implementation of MIP hardware accelerator, we will develop a real-time visioninspection camera using hardware/software collaborative design approach. Using MIP as the hardwareaccelerating core, combined with image control and embedded image analysis software, the optimizedhardware /software communication interfacing was designed to validate the functionalities of morphologicalimage processor, as well as performance improvement. Finally, the mainstream product’s performance indexis used as a comparative assessment. Our vision inspection camera is expected to be significantly faster thanexisting products, to provide the solutions to enhance the productivity of real-time inspection systems forsmart factory.
Effective start/end date1/08/1731/07/18

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 8 - Decent Work and Economic Growth
  • SDG 12 - Responsible Consumption and Production
  • SDG 17 - Partnerships for the Goals


  • Mathematical Morphology
  • Hardware Accelerator
  • Vision Inspection
  • Hardware/SoftwareCollaborative Design


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