0000000000369274
AUTHOR
Ajad Chhatkuli
Unsupervised learning of category-specific symmetric 3D keypoints from point sets
Lecture Notes in Computer Science, 12370
Separating compound figures in journal articles to allow for subfigure classification
Journal images represent an important part of the knowledge stored in the medical literature. Figure classification has received much attention as the information of the image types can be used in a variety of contexts to focus image search and filter out unwanted information or ”noise”, for example non–clinical images. A major problem in figure classification is the fact that many figures in the biomedical literature are compound figures and do often contain more than a single figure type. Some journals do separate compound figures into several parts but many do not, thus requiring currently manual separation. In this work, a technique of compound figure separation is proposed and implemen…