A non-transitory computer-readable medium (CRM) storing computer program code executed by a computer processor that executes a process of acquiring a medical image generated based on a signal detected by a catheter inserted to a lumen organ, estimating a position of an object at least included in the acquired medical image by inputting the medical image to a first learning model for estimating a position of an object included in the medical image, extracting from the medical image an image portion by using the estimated position of the object as a reference, and recognizing the object included in the extracted image portion by inputting the image portion to a second learning model for recognizing an object included in the image portion.

An image matting method and apparatus, an electronic device, and a computer-readable storage medium. The method comprises: performing feature point detection on an image so as to obtain a feature point; acquiring a first image region manually marked on the image; adjusting the first image region according to the feature point, so as to obtain a second image region; and performing matting on the image according to the second image region. The manually marked first image region is adjusted according to the feature point, so as to acquire the second image region which is more accurately positioned, and then matting can be performed according to the second image region so as to accurately extract a required region.

A powder flow monitoring system may include a computing device configured to receive image data representing illuminated powder of a powder stream between a powder delivery device and a build surface of a component, generate a representation of the powder stream based on the image data, and output the representation of the powder stream for display at a display device.

An image data processing method and a printing system for printing technology are provided. The image includes a first bitmap image. The image data processing method includes: dividing the first bitmap image into a plurality of regions, selecting sampling positions in each of the plurality of regions, performing sampling to acquire sample points, and rearranging the sample points to form a second bitmap image. The second bitmap image is different from the first bitmap image.

State of art techniques performing image labeling of remotely sensed data are computation intensive, consume time and resources. A method and system for efficient retrieval of a target in an image in a collection of remotely sensed data is disclosed. Image scanning is performed efficiently, wherein only a small percentage of pixels from the entire image are scanned to identify the target. One or more samples are intelligently identified based on sample selection criteria and are scanned for detecting presence of the target based on cumulative evidence score Plurality of sampling approaches comprising active sampling, distributed sampling and hybrid sampling are disclosed that either detect and localize the target or perform image labeling indicating only presence of the target.

A system and method for defect detection in a hole array on a substrate is disclosed herein. In one embodiment, a method for defect detection in a hole array on a substrate, includes: scanning a substrate surface using at least one optical detector, generating at least one image of the substrate surface; and analyzing the at least one image to detect defects in the hole array on the substrate surface based on a set of predetermined criteria.

A method and system for automatic location of a target treatment structure, such as a pulmonary vein ostium, from an anatomical image. The method includes calculating a most likely path of blood flow through a pulmonary vein based on a cross-sectional area minimization technique and calculating pulmonary vein geometry as a function of length. For example, a pulmonary vein ostium may be located by analyzing a change in pulmonary vein dimensional size or other anatomical factors, such as absolute size. The method may also include determining tissue thickness at the pulmonary vein ostium or other treatment size for treatment dose optimization. The method may be an algorithm performed by a processing unit of a navigation system or other component of a medical system.

A system and method for defect detection in a hole array on a substrate is disclosed herein. In one embodiment, a method for defect detection in a hole array on a substrate, includes: scanning a substrate surface using at least one optical detector, generating at least one image of the substrate surface; and analyzing the at least one image to detect defects in the hole array on the substrate surface based on a set of predetermined criteria.

Systems and methods for analyzing vessels in multiplexed images include detecting large vessels using a spoke feature detection method, detecting long and narrow vessels using a line feature detection method, detecting smaller vessels using rolling-ball filtering and binary image operations to generate a mask, and evaluating any contour polygons resulting from these operations using quality measurements and other thresholds. Maturity determination and nuclei detection are also performed, resulting in an output of vessel characteristics and co-locations enabling enhanced analysis of multispectral images.

An image processing method that includes setting a plurality of search areas of a predetermined size having mutually different circumferential positions along a peripheral edge part and extending in a radial direction from a center of a recess toward the peripheral edge part near the peripheral edge part in an image, executing an edge detection in each search area to obtain detected edge position and edge intensity for each search area, obtaining a relative shift amount for making a degree of similarity of image patterns highest for each search area when another search area adjacent to the search area in the circumferential direction is shifted in the radial direction with respect to the search area, and specifying a position of the boundary in one search area based on the edge positions, the edge intensities and the relative shift amounts in the search area and each of the search areas in neighboring ranges in the circumferential direction.