An image processing apparatus includes: a base period extracting unit extracting a first target region period based on a first periodic change being a periodic change of a target region in a base moving image acquired by a base moving image acquiring unit; a reference period extracting unit extracting a second target region period based on a second periodic change being a periodic change of the target region in a reference moving image acquired by a reference moving image acquiring unit; a period adjusting unit performing period adjusting processing of synchronizing, for the first target region period or the second target region period, the first periodic change and the second periodic change with each other at a particular phase; and a display image generating unit generating a display image allowing for comparison between the base moving image and the reference moving image after the period adjusting processing is performed.

Disclosed are processes including receiving at least a first and a second image data record corresponding to a first and a second point in time and including a first and a second one or more images of a wound; obtaining an image of the wound from a particular point of view corresponding to the first point in time by analyzing the first image data record; generating a simulated image of the wound from the particular point of view corresponding to the second point in time by analyzing the second image data record; and generating a visual time series view of the wound including at least the image of the wound from the particular point of view corresponding to the first point in time and the simulated image of the wound from the particular point of view corresponding to the second point in time.

An image analyzer includes a hardware processor that acquires an image obtained by performing still image capturing or dynamic imaging of a subject at least while wearing a ventilator or within a predetermined time after removing the ventilator and generates information regarding presence or absence of complications related to the ventilator of the subject based on the acquired image.

Image processing methods and related systems (IPS) to process imagery (F) acquired during deposition of a substance at a region of interest, ROI The methods and systems allow visualizing in a graphics display (GD) various aspects of the deposited substance and/or determining, based on the imagery, the amount of said substance deposited at the ROI

From a plurality of medical images in time phases, a target site is extracted from at least one medical image, a reference point is set on each of a target-site side, and a periphery side of the target site which are on across from each other over an outline of the extracted target site, and movement information for the reference points is calculated.

Systems and methods for obtaining diagnostic data of a target are disclosed. The systems include an imaging device and a drape. The imaging device includes at least one excitation light source for fluorescent imaging, and an optical sensor configured to detect signals responsive to illumination of the target with the excitation light. The drape is configured to reduce ambient light surrounding the target during imaging.

An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.

Implementations relate to crop yield prediction at the field- and pixel-level. In various implementations, a first temporal sequence of high-elevation digital images may be obtained that capture a first geographic area and are acquired over a first predetermined time interval while the first geographic area includes a particular crop. A first plurality of other data points may also be obtained that influence a ground truth crop yield of the first geographic area after the first predetermined time interval. The first plurality of other data points may be grouped into temporal chunks corresponding temporally with respective images of the first temporal sequence. The first temporal sequence and the temporal chunks of the first plurality of other data points may be applied, e.g., iteratively, as input across a machine learning model to estimate a crop yield of the first geographic area at the end of the first predetermined time interval.

Systems and methods for tracking healing progress of multiple adjacent wounds are provided. In one embodiment, a system may include a processor configured to receive a first image of a plurality of adjacent wounds near a form of colorized surface having colored reference elements, determine colors of the plurality of wounds, correct for local illumination conditions, receive a second image of the plurality of wounds near the form of colorized surface, to determine second colors of the plurality of wounds in the second image, match each of the plurality of wounds in the second image to a wound of the plurality of wounds in the first image, and determine an indicator of the healing progress for each of the plurality of wounds based on changes between the first image and the second image.