Description, Recognition and Analysis of Biological Images
2010 (English)In: CP1210, 2009 International Symposium on Computational Models for Life Sciences (CMLS ’09) / [ed] Tuan Pham; Xiaobo Zhou, American Institute of Physics (AIP), 2010, Vol. 1210, 23-42 p.Conference paper (Other academic)Text
Description, recognition and analysis biological images plays an important role for human to describe and understand the related biological information. The color images are separated by color reduction. A new and efficient linearization algorithm is introduced based on some criteria of difference chain code. A series of critical points is got based on the linearized lines. The series of curvature angle, linearity, maximum linearity, convexity, concavity and bend angle of linearized lines are calculated from the starting line to the end line along all smoothed contours. The useful method can be used for shape description and recognition. The analysis, decision, classification of the biological images are based on the description of morphological structures, color information and prior knowledge, which are associated each other. The efficiency of the algorithms is described based on two applications. One application is the description, recognition and analysis of color flower images. Another one is related to the dynamic description, recognition and analysis of cell‐cycle images.
Place, publisher, year, edition, pages
American Institute of Physics (AIP), 2010. Vol. 1210, 23-42 p.
, AIP Conference Proceedings, ISSN 0094-243X ; 1210
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:liu:diva-125061DOI: 10.1063/1.3314267OAI: oai:DiVA.org:liu-125061DiVA: diva2:902696
2009 International Symposium on Computational Models for Life Sciences (CMLS ’09), Sofia, Bulgaria, 28–29 July 2009