Protein spot detection by symmetry derivatives of gaussians

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

Volumn 2749, Issue , 2003, Pages 520-525

  Persson, Martin ^a   Bigun, Josef ^a  

^a HALMSTAD UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED ANALYSIS; ELECTROPHORESIS; IMAGE ANALYSIS; IMAGE PROCESSING;

AUTOMATIC IMAGE PROCESSING; CIRCULAR SYMMETRY; GAUSSIANS; PROTEIN SPOT DETECTIONS; SENSITIVE METHOD; TWO-DIMENSIONAL GEL ELECTROPHORESIS;

PROTEINS;

EID: 35248883560     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45103-x_69     Document Type: Article

References (6)

1. O'Farrell, P.H., High resolution two-dimensional electrophoresis of proteins, J. Biol. Chem. 250:4007-4021, 1975
2. Bigün, J., Bigün T., Symmetry derivatives of Gaussians illustrated by cross tracking, Research Report IDE-0131, 2001
3. Bigün, J., Optimal orientation detection of linear symmetry, IEEE Computer Society Press, Washington, DC, pages 433-438, 1987, In First International Conference on Computer Vision, ICCV (London).
4. Bigün, J., A structure feature for some image processing applications based on spiral faunctions, Computer Vision, Graphics, and Image Processing, 51(2): 166-194, 1990
5. Raman, B., Cheung, A., Marten, M. R., Quantitative comparison and evaluation of two commercially available, two-dimensional electrophoresis image analysis software packages, Z3 and Melanie, Electrophoresis 23:2194-2202
6. http://userpages.umbc.edu/~braman1/proteome_index.html