(BEye) - working progress
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Transcript of (BEye) - working progress
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❏ Segmentation implementation (stable version)
❏ Segmentation implementation (optimized version)
❏ Sympthom implementation (stable version)
Translation
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❏ Segmentation implementation (stable version)
❏ Segmentation implementation (optimized version)
❏ Sympthom implementation (stable version)
Translation
● easy to learn
● filters already implemented
● mostly used
● suitable for image processing
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❏ Segmentation implementation (stable version)
❏ Segmentation implementation (optimized version)
❏ Sympthom implementation (stable version)
Translation
● easy to learn
● filters already implemented
● mostly used
● suitable for image processing
● the one that can be translated in HW language
● basic enough
● with no external libriaries
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❏ Segmentation implementation (stable version)
❏ Segmentation implementation (optimized version)
❏ Sympthom implementation (stable version)
Translation
● easy to learn
● filters already implemented
● mostly used
● suitable for image processing
● the one that can be translated in HW language
● basic enough
● with no external libriaries
● translates thanks to Vivado HLS
● suitable for hw synthesis
● mostly used
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PYTHON PYTHON PYTHON
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Detect vessels
Find vessels structure
Dilate/Erode
Supporting function
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Vessels Image Supporting matrix
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Supporting matrix
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4 3 3
Supporting matrix
0 0 0 0 0 0
0 1 1 0 0 0
0 0 1 0 0
0 0 0 0 0 0
0 0 0 0 0
0 0 0
Vessels Image
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Supporting matrix
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3 3
Supporting matrix
0 0 0 0 0 0
0 1 1 0 0 0
0 0 1 0 0
0 0 0 0 0 0
0 0 0 0 0
0 0 0
Vessels Image
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0
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Supporting matrix
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3 3
Supporting matrix
0 0 0 0 0 0
0 1 1 0 0 0
0 0 1 0 0
0 0 0 0 0 0
0 0 0 0 0
0 0 0
Vessels Image
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Manual - Ac = 100% Our implementation - Ac = 93%
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Facebook https://www.facebook.com/beye.project/
Twitter https://twitter.com/BEye_NECSTLab
Politecnico di Milano, NECST lab for Xilinx Open Hardware Contest 2016 #XOHW16
