8 results about "Blob detection" patented technology

The invention relates to a method and apparatus for high resolution total body photography (TBP). The inventive method uses a multi-stage keypoints focused pipeline that begins with blob detection to rapidly and coarsely localize potential lesions within high-resolution TBP images. Once these regions of interest are identified, a deep learning classifier evaluates them for malignancy risk. Acknowledging that wide-field imaging can compromise classification precision due to variability in resolution and appearance, the process is further refined by integrating ugly duckling analysis and t-SNE clustering. The ugly duckling detection process groups suspicious regions across all images, effectively highlighting clusters of high-risk candidates for further clinical review utilizing the method of the invention.

A system and method for enabling management of faults relating to a tracking managing subsystem and a tracking assembly communicatively connected thereto, include a method including: obtaining from the tracking assembly a tracking stream, which comprises tracking data maps, obtaining a set of system parameters, deriving a set of blobs by applying a blob detection procedure to at least two tracking data maps of the tracking stream, and sending the set of blobs and the set of system parameters to a rendering subsystem at which the set of system parameters are processed, thereby enabling fault management by the rendering subsystem.

The invention discloses a dynamic mark point detection tracking method and system based on improved CSRT, and belongs to the technical field of bionic visual tactile sensors, and the method comprises the steps: determining a mark point, and obtaining a first frame image containing the mark point; acquiring an initial position of the mark point in the first frame image based on a morphological feature spot detection method; acquiring a CSRT tracker of the mark point based on the initial position, and acquiring motion information of the mark point through the CSRT tracker; obtaining vector modulus length of inter-frame displacement of the mark points based on the motion information, comparing the vector modulus length with a preset modulus length threshold value, and determining the mark points corresponding to the vector modulus length outside the modulus length threshold value as moving points; acquiring a region covering the moving points as a dynamic attention region based on the spatial distribution of the moving points; and performing displacement tracking of the contact object based on the dynamic region of interest. According to the morphological feature-based spot detection method, accurate initial positioning of the mark points is realized, and a reliable starting point is provided for subsequent tracking.

A spot detection device, a spot detection method, and a display device are provided. The spot detection device includes an imager and a spot detector, in which: the imager is configured to capture a display panel displaying a first image of a first gray scale and a second image of a second gray scale different from the first gray scale, and generate image data; and the spot detector is configured to receive the image data from the imager to detect a spot. The image data includes first image data obtained by capturing the first image, second image data obtained by capturing the second image, and a plurality of third image data obtained by capturing a portion of the first image.

This application provides a spot detection control method, device, and spot detection system, which are applied to spot detection control equipment. First, according to the change information between the laser spot sizes corresponding to different positions on the main optical axis when the laser emitted by the laser is transmitted to these positions, the spot analyzer is controlled to move to the focal position on the main optical axis; then, the spot detection result of the laser is determined based on the first spot information collected by the spot analyzer at the focal position. The first spot information includes at least one of spot size, spot shape, and spot intensity data. This realizes the automatic real-time movement adjustment of the spot analyzer, ensures the accuracy of movement adjustment, improves the efficiency of moving the spot analyzer to the focal position, and thus enhances the detection efficiency of the detection result.

A method and a tracking managing subsystem (111) for providing blobs relating to tracking of a sports projectile are disclosed. The method comprises obtaining (A110), from the tracking assembly (115), a tracking stream including tracking data maps, which are associated with timestamps, wherein each tracking data map of the tracking data maps is associated with a respective timestamp of the timestamps, and obtaining (A120) a set of transform parameters. Furthermore, the method comprises deriving (A130) a set of blobs by applying a blob detection procedure to at least two tracking data maps of the tracking stream, and sending (A140) the set of blobs and the set of transform parameters.

The invention provides an intelligent vision inspection method, system and device running on an embedded platform, and relates to the field of computer vision measurement. The method comprises the following steps: simultaneously acquiring two paths of images through an image sensor; performing AI target detection on one path of image to obtain a target frame and mapping the target frame to a display coordinate system; calculating the offset between the center of the target and the center of the picture to judge a visual alignment state; monocular distance estimation and smoothing processing are carried out based on the target pixel height, the physical height and the equivalent focal length; executing color threshold blob detection in the ROI region defined by the target frame to identify abnormity; a double-layer duplicate removal mechanism is adopted to avoid duplicate records; and performing automatic screenshot on a new abnormal event, recording a log, and overlapping and displaying detection information on a picture. According to the invention, in the embedded device with limited resources, the monocular camera is combined to realize low-cost and high-reliability intelligent inspection, and the problems of unstable distance measurement, abnormal false detection and repeated event recording are effectively solved.