Robust automatic ground image feature extraction for multisensor image registration

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4385, Issue , 2001, Pages 129-139

  Randrianarisoa, Vénérée ^a   Yang, Xiangjie ^a   Sheng, Yunlong ^a   Sévigny, Ĺandre ^b   Valin, Pierre ^c  

^a UNIVERSITÉ LAVAL   (Canada)

^b DEFENCE RESEARCH AND DEVELOPMENT CANADA VALCARTIER   (Canada)

^c Lockheed Martin Canada   (Canada)

Author keywords

Automatic multisensor image registration; Contour based matching; Robust feature extraction

Indexed keywords

ALGORITHMS; CLUTTER (INFORMATION THEORY); IMAGE SENSORS; ROBUSTNESS (CONTROL SYSTEMS); SENSOR DATA FUSION; SPURIOUS SIGNAL NOISE;

MULTISENSOR IMAGE REGISTRATION;

FEATURE EXTRACTION;

EID: 0034929616     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.421100     Document Type: Article

References (8)

1. Adaptive hill climbing and iterative closest point algorithm for multisensor image registration with partial Hausdorff distance
2. Real-world multisensor image alignement using edge focusing and Hausdorff distances
3. A computational approach to edge detection
4. Using Canny's criteria to derive a recursively implemented optimal edge detector
5. Identification of retinal vessels by color image analysis
6. A stereo vision technique using curve-segments and relaxation matching
7. Image registration using a new edge-based approach