Abstract: An apparatus for processing ultrasound scan data comprises a processor configured to obtain three-dimensional ultrasound scan data for a volume including a region of interest in a subject, the processor is further configured to: provide the three-dimensional ultrasound scan data for display to the user by providing for display to the user a first two-dimensional view of the region of interest in a predetermined direction such that the first two-dimensional view intersects the first boundary; and upon receiving, via the user interface, a user input indicating a location of the first boundary in the first two-dimensional view of the region of interest, generate a second two-dimensional view of the region of interest corresponding to the slice at the first boundary on basis of the indicated location, and providing for display to the user the second two-dimensional view of the region of interest.

Abstract: A method and a device for augmenting data in a monitoring video are provided which includes: selecting randomly, based on a function to be implemented for the data and a parameter range which are set by a user or by default, one or more processing functions to be performed on the data and parameters of the processing functions; processing the data using the selected one or more processing functions, to obtain new data; and repeating the above processes until a required amount of data is generated. With the method, monitoring data having diversity and a small size can be obtained with only a few input samples, and a high degree of randomness and comprehensiveness of the augmented data can be achieved.

Abstract: Smoke detection based on video images includes performing background image modeling on a current image, to acquire a foreground image and a background image of the current image; acquiring one or more candidate areas in the current image used for detecting a moving object, based on the foreground image; calculating attribute information of a candidate area corresponding to the current image and/or the background image; and determining whether there exists smoke in the candidate area according to the attribute information. The smoke can be detected quickly and accurately through video images, but also the detection accuracy of video-based smoke detection when light changes and at complex environments can be provided.

Abstract: A method and a device for augmenting data in a monitoring video are provided which includes: selecting randomly, based on a function to be implemented for the data and a parameter range which are set by a user or by default, one or more processing functions to be performed on the data and parameters of the processing functions; processing the data using the selected one or more processing functions, to obtain new data; and repeating the above processes until a required amount of data is generated. With the method, monitoring data having diversity and a small size can be obtained with only a few input samples, and a high degree of randomness and comprehensiveness of the augmented data can be achieved.

Abstract: Smoke detection based on video images includes performing background image modeling on a current image, to acquire a foreground image and a background image of the current image; acquiring one or more candidate areas in the current image used for detecting a moving object, based on the foreground image; calculating attribute information of a candidate area corresponding to the current image and/or the background image; and determining whether there exists smoke in the candidate area according to the attribute information. The smoke can be detected quickly and accurately through video images, but also the detection accuracy of video-based smoke detection when light changes and at complex environments can be provided.

Abstract: Embodiments of this disclosure provide a fire detection method, a fire detection apparatus and electronic equipment. The fire detection apparatus includes: a first extracting unit configured to extract at least one group of fire candidate regions from a predetermined number of consecutive frames of surveillance images; a first calculating unit configured to calculate variance of directivity angles of a predetermined vector, variance of amplitudes of the predetermined vector and variance of Hu moments of the fire candidate regions; wherein, the predetermined vector is a vector connecting a position of a center of mass and a position of a highest point in each fire candidate region; and a first judging unit configured to judge whether each group of fire candidate regions is regions where fires may be or are occurring according to the variance of directivity angles of the predetermined vector, the variance of amplitudes of the predetermined vector and the variance of Hu moments.

Abstract: A method and system for approximating a curve, and a graphic display control method and apparatus are disclosed. The method for approximating a curve comprises the steps of acquiring number information of subdividing points for subdividing a curve needed to be approximated based on coordinate information of control points of the curve, acquiring coordinate information of the subdividing points based on the number information of the subdividing points and the coordinate information of the control points, and connecting the subdividing points with straight lines based on the coordinate information of the subdividing points. The invention could achieve efficient curve approximation and in turn achieve efficient graphic-display control.

Abstract: Image defogging method and system, the method including: constructing a pixel-based dark channel map of a fogging image; constructing a local area-based dark channel map of the image; acquiring a final dark channel map of the image; acquiring intensity values of R, G, B channels of a pixel having a maximum grey value of all pixels in an area, covered by a brightest area in the local map, in the fogging map, as R, G, B components of an air light value of the image; acquiring a transmission map of the image by using the final map, a maximum value of the components of the air light value, and a defogging parameter; and acquiring intensity values of the channels of pixels in a defogged image by using the transmission map, the air light value, and the intensity values of the R, G, B channels of the pixels in the image.