In a method and apparatus for visualizing the position of a medical object in a body of an examination object, a stack of sectional images through the body, acquired by operation of a magnetic resonance imaging system, is provided to a processor, which implements sectional-image-specific pixel coding of the sectional images. This is followed by the creation of a combination image composed of a combination of a number of coded sectional images from the stack, and representation of the combination image.

A system and method is provided for identifying an object along a road, where the object may be represented by a bounding box, and projecting a set of obstacle points within the bounding box corresponding to the identified object. In one aspect, a two-dimensional plane oriented perpendicular to a direction of the movement of the vehicle may be identified. In another aspect, the areas of the plane that may be occupied based on the set of obstacle points may be determined to generate a contour of the identified object. Thereafter, the height profiles of the identified object and the vehicle may be determined and identified, respectively. Based on the height profiles, a minimum clearance may be determined.

An image analysis apparatus according to an embodiment of the present invention includes: a processor; and a memory storing program instructions that cause the processor to: determine a shape of a particle included in a particle image that is extracted from an image of an object, so that an OK particle image which is a particle image of an OK particle that satisfies a predetermined standard for shape and a provisional NG particle image which is a particle image of a provisional NG particle that does not satisfy the predetermined standard, are obtained; generate a pseudo image using a generative model; and determine whether the provisional NG image and the pseudo image are similar, wherein in a case where the provisional NG image and the pseudo image are determined to be similar, the provisional NG particle is determined as including an OK particle.

An object detection device of an object detection system includes an object detection determination unit including a bird candidate determination unit for determining, from an image acquired by imaging a moving object, whether or not the moving object is a specific detection subject (bird in this case), and a bird type/attitude estimation unit for estimating, based on a contour of the moving object determined to be the bird by the bird candidate determination unit and a WFM library storing contour shape information, which is a contour prepared for each of types of the specific detection subject (types of the bird in this case), a type of the moving object out of the types of the specific detection subject.

A system, method, and computer program product for evaluating a conformance of sets of curves using curvature information from curve segments to identify conforming curve segments. These curve segments are evaluated for relative positional variations in a context of a cluster by triangulating corresponding points among the curve segments of the cluster. Little to no deviation between corresponding lengths in the clusters indicate a high probability of match. Confirmation may be done by a more rigorous pattern matcher based upon the conforming curve segments of a cluster.

To make it possible to highly accurately specify a contour even with simple operation and further improve accuracy of a defect inspection. A plurality of edge detection regions are set on an image for inspection. A contour segment is formed in each of the edge detection regions. Connection processing for connecting an end portion of one contour segment and an end portion of another contour segment is repeatedly executed to form a closed region. A defect inspection of an inspection target object is executed with the closed region set as an inspection target region.

A system for determining a road type includes processing circuitry configured to receive information from a plurality of sensors. The information corresponds to one or more of operation of a host vehicle and an environment surrounding the host vehicle. Additionally, the system determines whether one or more of the plurality of sensors detects an off highway event, classifies the road type as a local road in response to one or more of the plurality of sensors detecting an off highway event, determines whether the speed of the host vehicle is greater than a first predetermined speed for a first predetermined amount of time, and classifies the road type as a limited access highway in response to the speed of the host vehicle being greater than the first predetermined speed for the first predetermined amount of time.

A motion detection system including: an infrared light source that emits infrared rays; a camera that captures a subject using infrared rays reflected by the subject; a memory that stores a plurality of pieces of outline data an output device that outputs information associated with a state of the subject; and a controller that controls the infrared light source, the camera, the memory, and the output device, wherein the controller performs the following: makes a comparison between an outline of the subject captured by the camera and the pieces of outline data; selects, from among the pieces of outline data, a piece of outline data which resembles the outline of the subject captured by the camera; and causes the output device to output information associated with a state of the subject corresponding to the selected piece of outline data.

The present disclosure provides systems and methods to enable detection of linear objects such as utility poles in complex and heterogeneous outdoor surroundings. The methods deal with shape and orientation as prominent features of a pole model. Candidate trapeziums from 2D images of the face of the poles are extracted, some of which represent parts of the pole. To overcome the missed detection of certain parts due to problems of occlusion and diffusion into background, shape based techniques, that extrapolate and capture a longer trapezium representing the pole is implemented. The region growing stage or extrapolation is driven by orientation-based clustering of trapeziums. Context information is further used to identify objects of interest, by discarding false positives. Besides detecting poles of interest, the detected poles are further analyzed to identify damages, if any.

There are included a display section for displaying a model image, an input receiving section for receiving designation, in the model image, of a measurement element for which measurement is to be performed by the probe, a storage section storing, in advance, an arrangement rule defining a relationship between a shape type or a size of a measurement element and arranged positions of contact target positions of the probe, and a measurement control section for identifying, at a time of measurement execution, contact target positions of the probe based on a position of the measurement element designated by the input receiving section, a shape type or a size of the measurement element, and the arrangement rule that is stored in the storage section, and for controlling a horizontal drive section so that the probe sequentially moves to the plurality of contact target positions identified.