A method of automated measurement of motility and morphology parameters of the same single motile sperm. Automated motility and morphology measurements of the same single sperm are performed under different microscope magnifications. The same single motile sperm is automatically positioned and kept inside microscope field of view and in focus after magnification switch. A method of automated non-invasive measurement of sperm morphology parameters under high magnification of imaging. Sperm morphology parameters including subcellular structures are automatically measured without invasive sample staining. A method of automatically selecting sperms with normal motility and morphology and DNA integrity for infertility treatment.

Examples described herein relate to automatic identification and transformation of a color region. A user can identify a region of a video frame or image that corresponds to a color region that is to be segmented. A color region can include one or more colors that appear to be approximately a uniform color. For one or more video frames, gamma correction can be applied to frames of the video. One or more frames of a video can be mapped to two color spaces. For each pixel in an image, a determination is made if the pixel has the same color as that of the identified region based on each of the at least two color spaces identifying the pixel as the color. The color region can be identified throughout a video and transformed to another color to aid in video editing.

A device for detecting the movement of object in images includes a weight determination circuit, an image blending circuit, and an object movement detection circuit. The weight determination circuit determines multiple weights according to an input image and a background image, each weight corresponding to a pixel position. The image blending circuit blends the input image and the background image based on the weights to generate an updated background image. The object movement detection circuit performs a sum of absolute difference (SAD) calculation, block by block, with the input image and the background image or the updated background image to generate a moving object indication data. The object movement detection circuit generates an object movement signal according to the moving object indication data and at least one threshold. Each block contains multiple pixels.

A method and apparatus for anonymizing a three-dimensional medical image are provided. The apparatus determines a skin region of a three-dimensional medical image, generates a human mask based on a human tissue region of the three-dimensional medical image, the human tissue region including various organs, generates a skin expansion region in which the skin region of the three-dimensional medical image is expanded, generates an anonymization region obtained by removing a region corresponding to the human mask from the skin expansion region, and changes brightness values of voxels corresponding to the anonymization region in the three-dimensional medical image to a predefined value or an arbitrary value.

A method for generating an object model includes: obtaining an initial morphable model; obtaining a plurality of initial images of an object, and depth images corresponding to the plurality of initial images; obtaining a plurality of target topological images by processing the plurality of initial images based on the depth images; obtaining a plurality of models to be synthesized by processing the initial morphable model based on the plurality of target topological images; and generating a target object model based on the plurality of models to be synthesized.

Discussed herein are devices, systems, and methods for organ mask generation. A device, system and method for organ mask generation including generating a synthetic centroid mask, identifying first and second intensity thresholds, in a first segmentation pass, setting (i) pixels of an image with intensities less than the first threshold to zero and (ii) pixels of the image corresponding to objects with centroids outside the synthetic centroid mask to zero, resulting an initial organ mask, in a second segmentation pass, setting pixels (i) with intensities less than the second threshold, the second threshold less than the first threshold to zero and (ii) setting pixels corresponding to objects with centroids outside the initial organ mask to zero, resulting in a second organ mask, and expanding and filling the second organ mask to generate an organ mask.

Methods for improving and modifying a High Dynamic Range (HDR) scene, captured as a series of images of the scene with different exposure levels and the scene through classification-based image merging, tuning, correction, and replacement. The approach employs mixing images to improve the selection and display of both shadowed and highlighted details. The increased efficiency resulting from improvements in computational resource utilization of image processing hardware can, from the implementation of the improved computational methods herein, significantly reduce the time required to generate and display a tone-mapped HDR image, a gamma-corrected HDR image, and/or a segmented and replaced HDR image.

Disclosed is a detection target positioning method and device. The method comprises: acquiring an original image and pre-processing the original image to obtain a gradation of each pixel in a target gradation image corresponding to a target region including a detection target; calculating first gradation sets corresponding to rows of pixels of the target gradation image and second gradation sets corresponding to columns of pixels of the target gradation image; and determining rows of two ends of the detection target in a column direction according to the first gradation sets, determining columns of two ends of the detection target in a row direction according to the second gradation sets, and determining a center of the detection target according to the row of two ends of the detection target in the column direction and the columns of two ends of the detection target in the row direction.

The technology is provided to effectively visualize culture statuses related to a plurality of culture targets. Provided is a control device including a display control unit that controls dynamic display related to a culture status of a culture target including a cell having a division potential, the culture status being estimated along a time series by morphological analysis using a learned model generated on the basis of a machine learning algorithm, in which the display control unit controls comparative display of the culture statuses of a plurality of the culture targets. Furthermore, provided is a control method including controlling, by a processor, dynamic display related to a culture status of a culture target including a cell having a division potential, the culture status being estimated along a time series by morphological analysis using a learned model generated on the basis of a machine learning algorithm, and controlling the display further including controlling comparative display of the culture statuses of a plurality of the culture targets.

According to an embodiment of the present invention, there is provided a method of screening a prostate cancer patient by optical image analysis of a circulating tumor cell marker and a prostate-specific membrane antigen.