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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 Multichannel Texture Segmentation Using Bamberger Pyramids | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2009 Article ID 539713 15 pages doi 10.1155 2009 539713 Research Article Multichannel Texture Segmentation Using Bamberger Pyramids Jose Gerardo Rosiles1 and Mark J. T. Smith2 1 Electrical and Computer Engineering Department The University of Texas at El Paso 500 W. University Avenue El Paso TX 79968-0523 uSa 2Electrical and Computer Engineering Department Purdue University Electrical Engineering Building 465 Northwestern Avenue West Lafayette IN 47907-2035 USA Correspondence should be addressed to Jose Gerardo Rosiles grosiles@utep.edu Received 6 November 2008 Revised 30 May 2009 Accepted 5 August 2009 Recommended by Andreas Uhl A multichannel texture segmentation algorithm is presented based on the image pyramids produced with the Bamberger directional filter bank. An extensive evaluation of Bamberger pyramids and their design parameters is presented. The impact on segmentation performance of factors like the number of pyramid levels number of directional channels redundancy and filter specifications is considered. The proposed system is shown to provide some of the best results reported to date when compared with other multichannel representations under similar evaluation conditions. It is further shown that segmentation results using the maximally decimated directional filter bank rival those of the undecimated case. To the knowledge of the authors such performance has not been previously observed for decompositions with decimated channels. Copyright 2009 J. G. Rosiles and M. J. T. Smith. 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 Image segmentation has received considerable attention over the last few decades. The goal of segmentation is to split an image into regions according to some criteria .
