1. Introduction  
2. Data  
2.1 H.E.S.S. Galactic Plane Survey (HGPS) maps  
2.2 Catalogues  
3. Methods  
3.1 Object detection in Hough space  
3.2 Classification based on morphological parameters  
3.3 Catalogue cross-matches  
4. Tests on simulations  
4.1 Simulated datasets  
4.2 Object detection performance  
5. Application to the HGPS survey  
6. Discussion on the objects identification  
6.1 Disclaimer: not all detected objects are sources  
6.2 Candidate selection maximizing association fraction  
6.3 SNR-like object identification  
7. Conclusion and perspectives  
7.1 Analysis products  
7.2 Summary and future works