tailieunhanh - Báo cáo hóa học: " Research Article Photorealistic Modeling of the Growth of Filamentous Specimens"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Photorealistic Modeling of the Growth of Filamentous Specimens | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 520972 9 pages doi 2008 520972 Research Article Photorealistic Modeling of the Growth of Filamentous Specimens Jiri Sedlar 1 2 Jan Flusser 1 and Michaela Sedlarova3 1 Department of Image Processing Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod Vodarenskou vizi 4 182 08 Prague 8 Czech Republic 2 Faculty of Mathematics and Physics Charles University Malostranske namesti 25 118 00 Prague 1 Czech Republic 3 Department of Botany Faculty of Science Palacky University Slechtitelu 11 783 71 Olomouc - Holice Czech Republic Correspondence should be addressed to Jiri Sedlar sedlar@ Received 27 April 2007 Revised 8 October 2007 Accepted 14 October 2007 Recommended by Stephen Marshall We present a new method for modeling the development of settled specimens with filamentous growth patterns such as fungi and oomycetes. In phytopathology the growth parameters of such microorganisms are frequently examined. Their development is documented repeatedly in a defined time sequence leaving the growth pattern incomplete. This restriction can be overcome by reconstructing the missing images from the images acquired at consecutive observation sessions. Image warping is a convenient tool for such purposes. In the proposed method the parameters of the geometric transformation are estimated by means of the growth tracking based on the morphological skeleton. The result is a sequence of photorealistic artificial images that show the development of the specimen within the interval between observations. Copyright 2008 Jiri Sedlar et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION In various fields of biology and medicine the growth param- eters of .