@InProceedings{Taschwer2016, author = {Taschwer, Mario and Marques, Oge}, booktitle = {MultiMedia Modeling}, title = {Compound Figure Separation Combining Edge and Band Separator Detection}, year = {2016}, address = {Cham, Switzerland}, editor = {Tian, Qi and Sebe, Nicu and Qi, Guo-Jun and Huet, Benoit and Hong, Richang and Liu, Xueliang}, month = {jan}, pages = {162--173}, publisher = {Springer International Publishing}, series = {Lecture Notes in Computer Science}, volume = {9516}, abstract = {We propose an image processing algorithm to automatically separate compound figures appearing in scientific articles. We classify compound images into two classes and apply different algorithms for detecting vertical and horizontal separators to each class: the edge-based algorithm aims at detecting visible edges between subfigures, whereas the band-based algorithm tries to detect whitespace separating subfigures (separator bands). The proposed algorithm has been evaluated on two datasets for compound figure separation (CFS) in the biomedical domain and compares well to semi-automatic or more comprehensive state-of-the-art approaches. Additional experiments investigate CFS effectiveness and classification accuracy of various classifier implementations.}, doi = {10.1007/978-3-319-27671-7_14}, isbn13 = {978-3-319-27671-7}, language = {EN}, location = {Miami, FL, USA}, pdf = {https://www.itec.aau.at/bib/files/fig-separation-mmm.pdf}, slides = {https://www.itec.aau.at/bib/files/MMM-2016-Taschwer.pdf}, subtitle = {22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016}, talkdate = {2016.01.05}, talktype = {registered}, url = {http://link.springer.com/chapter/10.1007/978-3-319-27671-7_14} }