19th summer school on image processing szeged - hungary project #5 and st ps dávid almási...
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19th Summer School on Image ProcessingSzeged - Hungary
Project #5and St ps
DávidAlmásiUniversity
of Debrecen
SeverinoGomes-NetoFederal University ofRio Grande do Norte
MelindaKatonaUniversityof Szeged
Tamás Sámuel
TasiUniversityof Szeged
Project
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
Database
Actual PicturesProject Database Pipeline Accuracy Evaluation
StairsNon stairs
Actual PicturesProject Database Pipeline Accuracy Evaluation
DoorsNon doorsNon stairs
Pipeline
Recognizing StepsProject Database Pipeline Accuracy Evaluation
Input Image
Gray Scaled
Crop
Histogram Equalization
Sharpening
Fourier Transform
Output Steps!
Edge Detection
Recognizing DoorsProject Database Pipeline Accuracy Evaluation
Input Image
Gray Scaled
Crop
Histogram Equalization
Sharpening
Fourier Transform
Output Door!
Edge Detection
Accuracy Evaluation
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%)