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- Scale_co-occurrence_matrix abstract "Scale co-occurrence matrix (SCM) is a method for image feature extraction within scale space after wavelet transformation, proposed by Wu Jun and Zhao Zhongming (Institute of Remote Sensing Application, China). In practice, we first do discrete wavelet transformation for one gray image and get sub images with different scales. Then we construct a series of scale based concurrent matrixes, every matrix describing the gray level variation between two adjacent scales. Last we use selected functions (such as Harris statistical approach) to calculate measurements with SCM and do feature extraction and classification. One basis of the method is the fact: way texture information changes from one scale to another can represent that texture in some extent thus it can be used as a criteria for feature extraction. The matrix captures the relation of features between different scales rather than the features within a single scale space, which can represent the scale property of texture better. Also, there are several experiments showing that it can get more accurate results for texture classification than the traditional texture classification.".
- Scale_co-occurrence_matrix wikiPageExternalLink login.jsp?tp=&arnumber=738911&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D738911.
- Scale_co-occurrence_matrix wikiPageExternalLink 11727-cooccurrence-matrix.
- Scale_co-occurrence_matrix wikiPageID "44640159".
- Scale_co-occurrence_matrix wikiPageLength "5296".
- Scale_co-occurrence_matrix wikiPageOutDegree "6".
- Scale_co-occurrence_matrix wikiPageRevisionID "649836168".
- Scale_co-occurrence_matrix wikiPageWikiLink Category:Feature_detection_(computer_vision).
- Scale_co-occurrence_matrix wikiPageWikiLink Category:Functional_analysis.
- Scale_co-occurrence_matrix wikiPageWikiLink Category:Image_compression.
- Scale_co-occurrence_matrix wikiPageWikiLink Category:Numerical_analysis.
- Scale_co-occurrence_matrix wikiPageWikiLink Discrete_wavelet_transform.
- Scale_co-occurrence_matrix wikiPageWikiLink Wavelet_transform.
- Scale_co-occurrence_matrix wikiPageWikiLink Wavelet_transformation.
- Scale_co-occurrence_matrix wikiPageWikiLinkText "Scale co-occurrence matrix".
- Scale_co-occurrence_matrix hasPhotoCollection Scale_co-occurrence_matrix.
- Scale_co-occurrence_matrix wikiPageUsesTemplate Template:Multiple_issues.
- Scale_co-occurrence_matrix wikiPageUsesTemplate Template:Reflist.
- Scale_co-occurrence_matrix subject Category:Feature_detection_(computer_vision).
- Scale_co-occurrence_matrix subject Category:Functional_analysis.
- Scale_co-occurrence_matrix subject Category:Image_compression.
- Scale_co-occurrence_matrix subject Category:Numerical_analysis.
- Scale_co-occurrence_matrix hypernym Method.
- Scale_co-occurrence_matrix type Software.
- Scale_co-occurrence_matrix comment "Scale co-occurrence matrix (SCM) is a method for image feature extraction within scale space after wavelet transformation, proposed by Wu Jun and Zhao Zhongming (Institute of Remote Sensing Application, China). In practice, we first do discrete wavelet transformation for one gray image and get sub images with different scales. Then we construct a series of scale based concurrent matrixes, every matrix describing the gray level variation between two adjacent scales.".
- Scale_co-occurrence_matrix label "Scale co-occurrence matrix".
- Scale_co-occurrence_matrix sameAs m.012g4hf5.
- Scale_co-occurrence_matrix wasDerivedFrom Scale_co-occurrence_matrix?oldid=649836168.
- Scale_co-occurrence_matrix isPrimaryTopicOf Scale_co-occurrence_matrix.