Image analysis of nailfold capillary patterns from video sequences

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

Volumn 1679, Issue , 1999, Pages 698-705

  Allen, P D ^a   Taylor, C J ^a   Herrick, A L ^a   Moore, T ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; BLOOD VESSELS; CAPILLARITY; IMAGE ANALYSIS; IMAGE ENHANCEMENT; MEDICAL COMPUTING; MEDICAL IMAGING; MICROCIRCULATION; VIDEO RECORDING;

BLOOD CAPILLARY; COMPOSITE IMAGES; COMPUTER-BASED SYSTEM; MEAN VALUES; PIXEL POSITION; STANDARD DEVIATION; VIDEO FRAME; VIDEO SEQUENCES;

COMPUTER AIDED ANALYSIS;

EID: 84957046978     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/10704282_76     Document Type: Conference Paper

References (5)

1. M. Bukhari, A.L. Herrick, T. Moore, J. Manning, and M. I. V. Jayson. Increased Nailfold Capillary Dimensions in Primary Raynaud’s Phenomenon and Systemic Sclerosis. British Journal of Rheumatology, 35:1127–1131, 1996.
2. R. Kutka and S. Stier. Extraction of Line Properties Based on Direction Fields. IEEE Trans. Med. Imag, 15(1):51–58, February 1996.
3. R. Zwiggelar, T. Parr, and C. Taylor. Finding Oriented Line Patterns in Digital Mammographic Images. In Proc. of 7th BMVC Edinburgh, 1996.
4. L. G. Brown. A Survey of Image Registration Techniques. ACM Computing Surveys, 24(4):321–376, December 1992.
5. P. D. Allen, C. J. Taylor, A.L. Herrick, and T. Moore. Enhancement of Temporally Variable Features in Nailfold Capillary Patterns. In British Machine Vision Conference, volume 2, pages 535–544, 1998.