An Ordinal Co-occurrence Matrix Framework for Texture Retrieval
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 rel...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2007-01-01
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| Series: | EURASIP Journal on Image and Video Processing |
| Online Access: | http://dx.doi.org/10.1155/2007/17358 |
| _version_ | 1818320444868001792 |
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| author | Mari Partio Bogdan Cramariuc Moncef Gabbouj |
| author_facet | Mari Partio Bogdan Cramariuc Moncef Gabbouj |
| author_sort | Mari Partio |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T10:25:07Z |
| format | Article |
| id | doaj.art-ee1af0ba60c24f149b4b90bb57d143d0 |
| institution | Directory Open Access Journal |
| issn | 1687-5176 1687-5281 |
| language | English |
| last_indexed | 2024-12-13T10:25:07Z |
| publishDate | 2007-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Image and Video Processing |
| spelling | doaj.art-ee1af0ba60c24f149b4b90bb57d143d02022-12-21T23:51:04ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-51761687-52812007-01-01200710.1155/2007/17358An Ordinal Co-occurrence Matrix Framework for Texture RetrievalMari PartioBogdan CramariucMoncef GabboujWe 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.http://dx.doi.org/10.1155/2007/17358 |
| spellingShingle | Mari Partio Bogdan Cramariuc Moncef Gabbouj An Ordinal Co-occurrence Matrix Framework for Texture Retrieval EURASIP Journal on Image and Video Processing |
| title | An Ordinal Co-occurrence Matrix Framework for Texture Retrieval |
| title_full | An Ordinal Co-occurrence Matrix Framework for Texture Retrieval |
| title_fullStr | An Ordinal Co-occurrence Matrix Framework for Texture Retrieval |
| title_full_unstemmed | An Ordinal Co-occurrence Matrix Framework for Texture Retrieval |
| title_short | An Ordinal Co-occurrence Matrix Framework for Texture Retrieval |
| title_sort | ordinal co occurrence matrix framework for texture retrieval |
| url | http://dx.doi.org/10.1155/2007/17358 |
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