Fig. 3.

Object feature extraction from manual annotations. (a) Example of an annotated image $\mathcal{G}$ overlaid over the original image. (b) All annotated lumen and periacinar retraction clefting objects in example image. We also show a zoomed-in image of a lumen object. (c) A lumen object (annotation) is overlaid over the original image. (d) Object feature extraction process (three independent subprocesses). In (1) and (2) subprocesses, lumen edge versus periacinar retraction clefting edge classifier and gland versus stroma classifier are used to test the pixels around the given object. All the inactive pixels (not tested by the pixel classifiers) are shown in a stripe pattern. In (3) subprocess, shape descriptors are computed for the object. The final concatenated object feature vector is of 173 ($=130+34+9$) dimensions. We show the number of dimensions of each computed value by the three subprocesses in parenthesis.