摘要:
A tongue diagnosis system based on chromatic and textural features of a subject's tongue, which is based on Bayesian analysis of two sets of quantitative features, related to the color and texture of the tongue, respectively. The two sets of quantitative features are extracted from a digital tongue image of the tongue. The system includes several modules for image acquisition, tongue contour extraction, color and texture features extraction, and Bayesian analysis, respectively. These modules may be connected and configured in a way that a disease diagnosis process, from tongue image acquisition to an output of a diagnosis result, is progressing automatically.
摘要:
A method and an apparatus for separating objects are disclosed. The method includes obtaining a depth image including a plurality of objects; obtaining a two-dimensional image including the objects; performing pixel-clustering using depth values of pixels in the depth image and pixel values of pixels in the two-dimensional image to obtain a plurality of sub-regions; performing region-clustering for the sub-regions to obtain a clustering result as an object separation result; and outputting the object separation result.
摘要:
A method and an apparatus for detecting an abnormal situation are disclosed. The method includes recognizing whether a detection target exists in a captured image; generating, based on the captured image, a three-dimensional point cloud of the detection target in the captured image, when the detection target exists; obtaining, based on the generated three-dimensional point cloud, one or more current posture features of the detection target; and determining, based on the current posture features and one or more predetermined posture feature standards, whether the abnormal situation exists, the posture feature standards being previously determined based on one or more common features when the detection target performs a plurality of abnormal actions.