Detection of pollen grains in multifocal optical microscopy images of air samples

Microscopy Research and Technique

Volumn 72, Issue 6, 2009, Pages 424-430

  Landsmeer, Sander H ^a   Hendriks, Emile A ^a   De Weger, Lettya ^b   Reiber, Johan H C ^b   Stoel, Berend C ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Airborne pollen forecast; Allergy; Image processing; Pattern recognition

Indexed keywords

ALLERGIES; AUTOMATION; OPTICAL DATA PROCESSING; OPTICAL DATA STORAGE; OPTICAL MICROSCOPY;

AIR SAMPLES; AIRBORNE POLLEN FORECAST; AIRBORNE POLLENS; BIOMEDICAL RESEARCH; COUNTING SYSTEM; IMAGES PROCESSING; MICROSCOPY IMAGES; MULTIFOCAL; POLLEN COUNTING; POLLEN GRAINS;

PATTERN RECOGNITION;

ACCURACY; AIR SAMPLING; ALLERGY; ARTICLE; COLOR; FORECASTING; IMAGE PROCESSING; MICROSCOPY; PATTERN RECOGNITION; POLLEN; PRIORITY JOURNAL;

AIR; AUTOMATION; COLOR; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY; POLLEN; SENSITIVITY AND SPECIFICITY;

EID: 66749094951     PISSN: 1059910X     EISSN: 10970029     Source Type: Journal    
DOI: 10.1002/jemt.20688     Document Type: Article

References (15)

1. Boucher A, Hidalgo PJ, Thonnat M, Belmonte J, Galan C, Bonton P, Tomczak R. 2002. Development of a semi-automatic system for pollen recognition. Aerobiologia 18:195-201. (Pubitemid 36077031)
2. Braun-Fahrländer C, Gassner M, Grize L, Takken-Sahli K, Neuz U, Stricker T, Varonier HS, Wüthrich B, Sennhauser FH, the Swiss Study on Childhood Allergy and Respiratory symptoms with respect to Air Pollution (SCARPOL) team. 2004. No further increase in asthma, hay fever and atopic sensitisation in adolescents living in Switzerland. Eur Respir J 23:407-413.
3. Chun C, Hendriks EA, Duin RPW, Reiber JHC, Hiemstra PS, de Weger LA, Stoel BC. 2006. Feasibility study on automated recognition of allergenic pollen: Grass, birch and mugwort. Aerobiologia 22:275-284. (Pubitemid 46020881)
4. Comaniciu D, Meer P. 2002. Mean shift: A robust approach toward feature space analysis. IEEE Trans Pattern Anal Mach Intel 24:603-619. (Pubitemid 34550429)
5. France I, Duller A, Duller G, Lamb H. 2000. A new approach to automated pollen analysis. Quaternary Sci Rev 18:536-537. (Pubitemid 30170289)
6. Kimme C, Ballard DH, Sklansky J. 1975. Finding circles by an array of accumulators. Commun ACM 18:120-122.
7. Li P, Flenley JR. 1999. Pollen texture identification using neural networks. Grana 38:59-64. (Pubitemid 30144066)
8. Peng T. 2007. Detect circles with various radii in grayscale image via Hough Transform. Available at: http://www.mathworks.com/matlabcentral/ fileexchange/loadFile.do?objectId59168.
9. Peng T, Balijepalli A, Gupta SK, LeBrun T. 2006. Algorithms for online monitoring of micro spheres in an optical tweezers-based assembly cell. J Comput Inform Sci Eng 7:330-338.
10. PRTools Toolbox. 2006. A MATLAB based toolbox for pattern recognition. Available at: http://www.prtools.org.
11. Ranzato M, Taylor PE, House JM, Flagan RC, LeCun Y, Perona P. 2007. Automatic recognition of biological particles in microscopic images. Pattern Recogn Lett 28:31-39. (Pubitemid 44754785)
12. Ronneberger O. 2007. 3D invariants for automated pollen recognition. PhD Thesis. Freiburg: Albert-Ludwigs University.
13. Ronneberger O, Schultz E, Burkhardt H. 2002. Automated pollen recognition using 3D volume images from fluorescence microscopy. Aerobiologia 18:107-115. (Pubitemid 35285009)
14. Van Rijsbergen CJ. 1979. Information Retrieval. London: Butterworths.
15. Zhang Y, Wang R. 2004. A combined method for texture analysis and its application. Berlin: Springer-Verlag. pp 413-416. (Pubitemid 38835602)