Adaptive mosaicing: Principle and application to the mosaicing of large image data sets

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4432 LNCS, Issue PART 2, 2007, Pages 500-507

  Bielski, Conrad ^a   Soille, Pierre ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; EDGE DETECTION; IMAGE QUALITY;

ADAPTIVE MOSAICING; IMAGE DATA SETS;

IMAGE ANALYSIS;

EID: 38049046729     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71629-7_56     Document Type: Conference Paper

References (8)

1. McNeil, D.: The wet process of laying mosaics. Photogrammetric Engineering 15 (1949) 315
2. Wolf, P.: Elements of Photogrammetry (with Air Photo Interpretation and Remote Sensing). McGraw-Hill, New York (1974)
3. Milgram, D.: Adaptive techniques for photomosaicking. IEEE Transactions on Computers 26 (1977) 1175-1180
4. Soille, P.: Morphological image compositing. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2006) 673-683
5. Price, K.: Computer vision bibliography. http://iris.usc.edu/Vision- Notes/bibliography/contents.html (2006)
6. Vincent, L., Soille, P.: Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Transactions on Pattern Analysis and Machine Intelligence 13 (1991) 583-598
7. Irish, R.: Landsat 7 automatic cloud cover assessment. In Shen, S., Descour, M., eds.: Proc. of Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI. Volume 4049., Society of Photo-Instrumentation Engineers (2000) 348-355
8. Bielski, C., Soille, P.: Order independent image compositing. Lecture Notes in Computer Science 3617 (2005) 1076-1083