A wear measurement system for a component is disclosed. The wear measurement system may have an imaging device configured to obtain a plurality of two-dimensional images of the component. The wear measurement system may also have a controller. The controller may be configured to generate a three-dimensional point cloud representing the component based on the two-dimensional images. The controller may also be configured to select at least two reference points appearing in each of a subset of images selected from the two-dimensional images. Further, the controller may be configured to determine locations of the two reference points in the three-dimensional point cloud. The controller may also be configured to determine an image distance between the locations. In addition, the controller may be configured to determine an amount of wear based on the image distance.

Shadow-grams are used for edge inspection and metrology of a stacked wafer. The system includes a light source that directs collimated light at an edge of the stacked wafer, a detector opposite the light source, and a controller connected to the detector. The stacked wafer can rotate with respect to the light source. The controller analyzes a shadow-gram image of the edge of the stacked wafer. Measurements of a silhouette of the stacked wafer in the shadow-gram image are compared to predetermined measurements. Multiple shadow-gram images at different points along the edge of the stacked wafer can be aggregated and analyzed.

A system and a method for recognition of an orchard on a geographic area are provided. The system includes a pre-processing module for deriving a target section of an aerial image containing a parcel of an orchard, an image optimization module for performing customized image processing on the target section of the aerial image, and a recognition module for determining a type and a border of the orchard present on the target section of the aerial image with a deep learning mechanism. Accordingly, farmers and agricultural entities can effectively monitor orchards within different geographic areas so as to yield better fruit production and conduct better fruit quality control and land utilization.

A method of providing, by a device, information about an object is provided. The method includes analyzing a shape of the object based on an image including the object to determine what kind of object it is, identifying the object, based on an identification reference corresponding to the determined kind of the object from among a plurality of identification references which are previously set in the device, and displaying information about the identified object on a screen of the device.

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 processing apparatus comprises: a model obtaining unit configured to obtain a learned model that has learned, based on a position of a predetermined feature point, a contour of a target in an image obtained by capturing the target; an image obtaining unit configured to obtain an input image; a position obtaining unit configured to obtain a position of an input point input on the input image by a user; a normalization unit configured to obtain a normalized image generated by coordinate-transforming the input image such that the position of the input point matches the position of the predetermined feature point in the learned model; and an estimation unit configured to estimate the contour of the target in the input image using the normalized image and the learned model.

The invention relates to a parking lot corner point correction method and system. The method includes: an obtaining step of obtaining a parking lot corner point of a parking lot; and a correction step of performing, based on a position relationship between parking lot corner points of the parking lot, rectangular correction on the parking lot corner points to obtain a corrected parking lot. The obtaining step includes: a first obtaining sub-step of obtaining a parking lot corner point of a parking lot; a determination sub-step of determining whether a corner point confidence level of the parking lot corner point meets a first threshold and whether a corner point offset thereof meets a second threshold, and jumping to the correction step if it is determined that the corner point confidence level meets the first threshold and the corner point offset meets the second threshold, otherwise, proceeding to a second obtaining sub-step; and the second obtaining sub-step of discarding the parking lot corner point of the parking lot that is detected in the first obtaining sub-step, and then using a parking lot corner point at a corresponding position that is predicted by an odometer, as the parking lot corner point of the parking lot. According to the invention, the parking accuracy may be improved.

An image enhancement method applied to an image enhancement apparatus and includes acquiring a first edge feature from a first spectral image and a second edge feature from a second spectral image, analyzing similarity between the first edge feature and the second edge feature to align the first spectral image with the second spectral image, acquiring at least one first detail feature from the first spectral image and at least one second detail feature from the second spectral image, comparing the first edge feature and the second edge feature to generate a first weight and a second weight, and fusing the first detail feature weighted by the first weight with the second detail feature weighted by the second weight to generate a fused image. The first spectral image and the second spectral image are captured at the same point of time.

A method and a system for controlling a handling machine, and a non-volatile computer readable recording medium are provided. The method includes: analyzing image data to obtain contour data corresponding to a target in the image data; analyzing the contour data to obtain feature data, where the feature data reflects the position of the target in the physical space; and generating control data based on the feature data, where the control data is adapted to control the handling machine to transport the target in response to the position of the target in the physical space.

An image generation method, apparatus, device, and storage medium. The method includes: obtaining contour information and target region information; determining at least one target contour according to the contour information and the target region information, the at least one target contour wholly or partly located in a target region; decreasing first coordinates of a plurality of contour points in the at least one target contour to obtain second location information, second location information of the at least one target contour includes second coordinates of a plurality of contour points in the at least one target contour, and the first coordinates of the plurality of contour points in the at least one target contour having a same decreasing extent; and generating a target image corresponding to the target region according to the second location information of the at least one target contour and the target region information.