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Báo cáo hóa học: " Research Article An Ordinal Co-occurrence Matrix Framework for Texture Retrieval"

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 An Ordinal Co-occurrence Matrix Framework for Texture Retrieval | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 17358 15 pages doi 10.1155 2007 17358 Research Article An Ordinal Co-occurrence Matrix Framework for Texture Retrieval Mari Partio 1 Bogdan Cramariuc 2 and Moncef Gabbouj1 1 Institute of Signal Processing Tampere University of Technology P.O. Box 553 33101 Tampere Finland 2 Tampere eScience Applications Center P.O. Box 105 33721 Tampere Finland Received 5 May 2006 Revised 9 October 2006 Accepted 30 October 2006 Recommended by Jian Zhang We present a novel ordinal co-occurrence matrix framework for the purpose of content-based texture retrieval. Several particularizations of the framework will be derived and tested for retrieval purposes. Features obtained using the framework represent the occurrence frequency of certain ordinal relationships at different distances and orientations. In the ordinal co-occurrence matrix framework the actual pixel values do not affect the features instead the ordinal relationships between the pixels are taken into account. Therefore the derived features are invariant to monotonic gray-level changes in the pixel values and can thus be applied to textures which may be obtained for example under different illumination conditions. Described ordinal co-occurrence matrix approaches are tested and compared against other well-known ordinal and nonordinal methods. Copyright 2007 Mari Partio 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 many application domains such as remote sensing and industrial applications the image acquisition process is affected by changes in illumination conditions. In several cases only the structure of gray-level variations is of interest. Therefore invariance to monotonic gray-level changes is an important property for texture .