Systems and methods are disclosed to objectively identify sub-second behavioral modules in the three-dimensional (3D) video data that represents the motion of a subject. Defining behavioral modules based upon structure in the 3D video data itself—rather than using a priori definitions for what should constitute a measurable unit of action—identifies a previously-unexplored sub-second regularity that defines a timescale upon which behavior is organized, yields important information about the components and structure of behavior, offers insight into the nature of behavioral change in the subject, and enables objective discovery of subtle alterations in patterned action. The systems and methods of the invention can be applied to drug or gene therapy classification, drug or gene therapy screening, disease study including early detection of the onset of a disease, toxicology research, side-effect study, learning and memory process study, anxiety study, and analysis in consumer behavior.

A mobile robot to which a shadow removal method and system for surveillance camera-based mobile robot control according to the present invention is applied acquires images from two closely installed surveillance cameras indoors and performs shadow removal at an improved speed compared to the conventional speed, to recognize the obstacle in the image to avoid it and travel.

It is anticipated that through the mobile robot using the surveillance camera-based shadow removal method and system of the present invention, the practical use of an intelligent image surveillance system that can automatically analyze images and recognize a dangerous situation to take quick action may be accelerated.

The present invention relates to an apparatus and method for detecting an oil spill by using a satellite image, an apparatus for detecting an oil spill by using a satellite image, the apparatus including: a satellite image reception unit configured to receive a satellite image of a predicted oil spill area; a satellite image correction unit configured to correct the satellite image by compensating for the influences of the atmosphere and waves; a spectral angle mapper image generation unit configured to generate a spectral angle mapper image; a spectral vector distance image generation unit configured to generate a spectral vector distance image; and an oil spill area detection unit configured to derive the range of the oil spill area by combining the spectral angle mapper image and the spectral vector distance image together.

The present disclosure relates to a simple, fast, and low cost method for 3D microvascular imaging, termed “scatter labeled imaging of microvasculature in excised tissue” (SLIME). The method can include perfusing a contrast agent through vasculature of a tissue sample with a contrast perfusing unit (22). The contrast agent can include colloids and a dispersant. After the contrast agent is perfused through the vasculature, the vasculature of the tissue sample can be treated with a cross-linking agent delivery unit (24) providing a molecule that cross links with at least a portion of the dispersant to form a sticky, non-Newtonian polymer that prevents leakage of the contrast agent out of the vasculature of the tissue sample. The tissue sample can then be immersed in a solution comprising a clearing agent with an optical clearing unit (26) and subsequently imaged.

Motorized machinery, such as overhead cranes, are widely used in industries all over the world. It is not easy to move crane payloads without oscillation, increasing the likelihood of obstacle collisions and other accidents. One possible solution to such problems could be aiding the operator with a dynamic map of the workspace that shows the current position of obstacles. This method discloses the use of a camera to take images of the workspace, using imaging blurring to smooth the obtained images, and drawing contours to produce an individual, near real-time map of the workspace. In one or more embodiments, known obstacles may be tagged in a manner which is readable by the camera. This image and historical images of the same workspace are layered on top of one another to produce a map of obstacles on the workspace floor. This imaging and layering can produce a near real-time map of obstacles that can be used to guide heavy motorized machinery around a workspace without incident.

A method and system for ghost detection in an image are described. Initially, a mode for detecting ghosting artifact is determined for deciding whether to perform analog or inter field ghosting analysis on the image. Based on the determined mode, a plurality of fields is determined to generate a field overlay image. The image is updated based on the field overlay image and an inter-field average of absolute difference is computed. A significant edge image, a principal edge image, and a delta gradient image are generated. A confidence score indicative of a likelihood of ghosting artifact in the image, is computed based on at least the inter-field average of absolute difference, a first and a second count of pixels in the delta gradient image, a third count of pixels in the principal edge image, and a count of rows of the significant edge image that correspond to the ghosting artifact.

An imaging system configured to display a captured image on a display having a lower dynamic range than the imaging system is provided, wherein the imaging system includes a high dynamic range imager configured to capture at least one high dynamic range image, and a processing device communicatively connected to the high dynamic range imager, wherein the processing device is configured to reduce color speckles caused by errant interpolated pixel values and reduce occurrence of errant values of alternate color while maintaining at least one of sharpness detail, edge detail, and generate smoothing color rendering in a displayed image.

Methods, systems, and apparatuses for detecting and describing heterogeneity in a cell sample are disclosed herein. A plurality of fields of view (FOV) are generated for one or more areas of interest (AOI) within an image of the cell sample are generated. Hyperspectral or multispectral data from each FOV is organized into an image stack containing one or more z-layers, with each z-layer containing intensity data for a single marker at each pixel in the FOV. A cluster analysis is applied to the image stacks, wherein the clustering algorithm groups pixels having a similar ratio of detectable marker intensity across layers of the z-axis, thereby generating a plurality of clusters having similar expression patterns.

A method, non-transitory computer readable medium and apparatus for estimating a pulse transmit time (PTT) to calculate a blood pressure are disclosed. For example, the method includes receiving a series of video images over a period of time that includes a first location of an individual and a second location of the individual, calculating a first set of luminance values of the first location and a second set of luminance values of the second location, estimating the PTT based on an average time difference from consecutive peaks of the first set of luminance values and the second set of luminance values and transmitting the PTT to a blood pressure calculation device to calculate the blood pressure based on the PTT that is estimated.

Accurate tissue segmentation is performed without a priori knowledge of tissue type or other extrinsic information not found within the subject image, and may be combined with classification analysis so that diseased tissue is not only delineated within an image but also characterized in terms of disease type. In various embodiments, a source image is decomposed into smaller overlapping subimages such as square or rectangular tiles, which are sifted based on a visual criterion. The visual criterion may be one or more of image entropy, density, background percentage, or other discriminator. A convolutional neural network produces tile-level classifications that are aggregated to produce a tissue segmentation and, in some embodiments, to classify the source image or a subregion thereof.