Automatic medical image categorization and annotation using LBP and MPEG-7 edge histograms Export

@inproceedings{citeulike:3576129, abstract = {This paper presents a global and local texture features combination as the description of medical images. The approaches use the block based Local Binary Pattern (LBP) texture histogram and MPEG-7 edge histogram together as the medical image description. The block histograms and the whole image texture histograms are accumulated to generate the image feature vector. Then, One-against-One SVM is adopted for automatic medical image annotation task in ImageCLEFmed2007. The experiments show that Local Binary Pattern texture and Edge Histogram are powerful for automatic medical image annotation.}, author = {Tian, Guangjian and Fu, Hong and Feng, D. D.}, booktitle = {Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on}, citeulike-article-id = {3576129}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ITAB.2008.4570523}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4570523}, doi = {10.1109/ITAB.2008.4570523}, journal = {Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on}, keywords = {chapter, s-collected, t-imaging, t-retrieval}, pages = {51--53}, posted-at = {2008-11-19 01:57:25}, priority = {2}, title = {Automatic medical image categorization and annotation using LBP and MPEG-7 edge histograms}, url = {http://dx.doi.org/10.1109/ITAB.2008.4570523}, year = {2008} }

TY - CONF ID - citeulike:3576129 L3 - citeulike-article-id:3576129 N2 - This paper presents a global and local texture features combination as the description of medical images. The approaches use the block based Local Binary Pattern (LBP) texture histogram and MPEG-7 edge histogram together as the medical image description. The block histograms and the whole image texture histograms are accumulated to generate the image feature vector. Then, One-against-One SVM is adopted for automatic medical image annotation task in ImageCLEFmed2007. The experiments show that Local Binary Pattern texture and Edge Histogram are powerful for automatic medical image annotation. JF - Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on EP - 53 TI - Automatic medical image categorization and annotation using LBP and MPEG-7 edge histograms T2 - Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on SP - 51 KW - chapter KW - s-collected KW - t-imaging KW - t-retrieval AU - Tian, Guangjian AU - Fu, Hong AU - Feng, DD PY - 2008/// UR - http://dx.doi.org/10.1109/ITAB.2008.4570523 ER -