1. 19th Summer School on Image Processing Szeged - Hungary Project #5 and St ps Dávid Almási University of Debrecen Severino Gomes-Neto Federal University of Rio Grande do Norte Melinda Katona University of Szeged Tamás Sámuel Tasi University of Szeged

2. Project

3. 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 ProjectDatabasePipelineAccuracy Evaluation

4. Database

5. Actual Pictures ProjectDatabasePipelineAccuracy Evaluation StairsNon stairs

6. Actual Pictures ProjectDatabasePipelineAccuracy Evaluation DoorsNon doorsNon stairs

7. Pipeline

8. Recognizing Steps ProjectDatabasePipelineAccuracy Evaluation Input Image Gray Scaled Crop Histogram Equalization Sharpening Fourier Transform Output  Steps! Edge Detection

9. Recognizing Doors ProjectDatabasePipelineAccuracy Evaluation Input Image Gray Scaled Crop Histogram Equalization Sharpening Fourier Transform Output  Door! Edge Detection

10. Accuracy Evaluation

11. Positives and Negatives PositivesNegatives Steps True16 (89%)8 (44%)* False2 (11%)10 (56%)* Doors True10 (83%)2 (50%) False2 (17%)2 (50%) ProjectDatabasePipelineAccuracy 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%)