project #5 and st ps - inf.u-szeged.hu - project 5...project database pipeline accuracy evaluation *...
TRANSCRIPT
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19th Summer School on Image ProcessingSzeged - Hungary
Project #5and St ps
DávidAlmásiUniversity
of Debrecen
SeverinoGomes-Neto
Federal University of
Rio Grande do Norte
MelindaKatonaUniversity
of Szeged
Tamás SámuelTasi
University
of Szeged
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Project
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Recognition of Doors and Steps
• Description– Appeal: Aid permanently or temporarily blind
people to know in advance the existence of doors and steps meanwhile they walk
– Input: Images from mobile phones (or webcams)
– Goal: recognize doors and steps
– Tools: Matlab R2010a + Image Processing Toolbox
Project Database Pipeline Accuracy Evaluation
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Database
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Actual PicturesProject Database Pipeline Accuracy Evaluation
StairsNon stairs
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Actual PicturesProject Database Pipeline Accuracy Evaluation
DoorsNon doorsNon stairs
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Pipeline
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Recognizing StepsProject Database Pipeline Accuracy Evaluation
Input Image
Gray Scaled
Crop
Histogram Equalization
Sharpening
Fourier Transform
Output Steps!
Edge Detection
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Recognizing DoorsProject Database Pipeline Accuracy Evaluation
Input Image
Gray Scaled
Crop
Histogram Equalization
Sharpening
Fourier Transform
Output Door!
Edge Detection
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Accuracy Evaluation
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Positives and Negatives
Positives Negatives
StepsTrue 16 (89%) 8 (44%)*
False 2 (11%) 10 (56%)*
DoorsTrue 10 (83%) 2 (50%)
False 2 (17%) 2 (50%)
Project Database Pipeline Accuracy Evaluation
* Computing “out of the range” stairs as false positives.
Actually, discarding those, the results are:8 true negatives (73%) and 3 false negatives (27%)