A camera mounted on a seafaring vessel obtains an image showing an object. The distance to the object is computed using, in part, a normal vector of the plane containing the camera and the horizon.

A method for determining wire regions of a circuit includes steps of: obtaining an original image containing multiple stick regions; processing the original image to obtain a first processed image containing multiple line segments; grouping the line segments into multiple groups corresponding respectively to the stick regions; generating a second processed image including multiple complete lines corresponding respectively to the groups; and generating a third processed image including multiple extended lines by extending the complete lines; and determining, for each of the extended lines in the third processed image, a rectangular region based on a stick region in the original image corresponding thereto.

A fairing skin repair method based on measured wing data includes fairing skin registration. Data set P1 through denoising and filtering wing point cloud data is reorganized to obtain a key point set P. A histogram feature descriptor in a normal direction of any key point in set P and a skin point cloud data Q is calculated. Euclidean distance between feature descriptors of two points is calculated through K-nearest neighbor algorithm, and points with high similarity are added into a set M. A clustering is performed on set M using a Hough voting algorithm to obtain a local point cloud set P′ in set P. The method includes fairing skin repair. The boundary line of the point frame is projected onto Q, and a distance between a projection line on the point cloud and the boundary line is calculated to obtain an amount of skin to be repaired.

A fairing skin repair method based on measured wing data includes fairing skin registration. Data set P1 through denoising and filtering wing point cloud data is reorganized to obtain a key point set P. A histogram feature descriptor in a normal direction of any key point in set P and a skin point cloud data Q is calculated. Euclidean distance between feature descriptors of two points is calculated through K-nearest neighbor algorithm, and points with high similarity are added into a set M. A clustering is performed on set M using a Hough voting algorithm to obtain a local point cloud set P′ in set P. The method includes fairing skin repair. The boundary line of the point frame is projected onto Q, and a distance between a projection line on the point cloud and the boundary line is calculated to obtain an amount of skin to be repaired.

The invention discloses an image detection method, apparatus, device and a medium. The method includes: determining one or more edge points in an input image and gradient directions thereof; generating an initial matrix with the same size as the input image, and assigning the same initial value to all matrix elements in the initial matrix; for each pixel point located in an accumulation region of each edge point, assigning a corresponding accumulation value to a matrix element in the initial matrix corresponding to the pixel point, to obtain an accumulation matrix; determining one or more circle-center positions in the input image based on the accumulation matrix; wherein, the accumulation region of each edge point includes a first direction line for accumulation along the gradient direction of the edge point and a second direction line for accumulation along the direction opposite to the gradient direction of the edge point.

A method and computer programs for detecting document regions that will be excluded from a watermark embedding process are disclosed. The method comprises converting, by an adapter module, at least one page of a received document into a visual representation thereof, the visual representation keeping the position of the characters of the at least one page; receiving, by a text detector, the visual representation; processing, by the text detector, the visual representation using one or more artificial intelligence algorithms, and returning a list of invalid regions with their associated page positions as a result, wherein each invalid region of the list of invalid regions may have associated thereto a confidence score; and using, by a watermark embedding module or by a watermark extracting module, the list of invalid regions to provide a watermarked document or a message embedded in the document.

Disclosed are a method and apparatus for presenting material, and a storage medium. The method includes acquiring at least two key points from a position of a presentation part of an object in an image; determining a preselected target point based on positions of the at least two key points; determining a target point of the image based on the preselected target point and target points of N continuous frames before the image, and presenting the material based on the target point.

An image processing circuit capable of detecting an edge component includes: a selecting circuit acquiring the brightness values of pixels of an image according to the position of a target pixel and a processing region, wherein the pixels include N horizontal lines and M vertical lines; a brightness-variation calculating circuit generating N horizontal-line-brightness-variation values according to brightness variation of the N horizontal lines, and generating M vertical-line-brightness-variation values according to brightness variation of the M vertical lines; a brightness-variation determining circuit choosing a horizontal-line-brightness-variation representative value among the N horizontal-line-brightness-variation values, choosing a vertical-line-brightness-variation representative value among the M vertical-line-brightness-variation values, and choosing a brightness-variation representative value between the two representative values; an energy-variation calculating circuit generating an energy-variation value according to the brightness values of the pixels; and an edge-score calculating circuit generating an edge score of the target pixel according to the brightness-variation representative value and energy-variation value.

An image processing circuit capable of detecting an edge component includes: a selecting circuit acquiring the brightness values of pixels of an image according to the position of a target pixel and a processing region, wherein the pixels include N horizontal lines and M vertical lines; a brightness-variation calculating circuit generating N horizontal-line-brightness-variation values according to brightness variation of the N horizontal lines, and generating M vertical-line-brightness-variation values according to brightness variation of the M vertical lines; a brightness-variation determining circuit choosing a horizontal-line-brightness-variation representative value among the N horizontal-line-brightness-variation values, choosing a vertical-line-brightness-variation representative value among the M vertical-line-brightness-variation values, and choosing a brightness-variation representative value between the two representative values; an energy-variation calculating circuit generating an energy-variation value according to the brightness values of the pixels; and an edge-score calculating circuit generating an edge score of the target pixel according to the brightness-variation representative value and energy-variation value.

This application discloses an image processing method, including: obtaining an image; performing feature extraction on the image to obtain at least one first feature map, where the at least one first feature map includes N first feature values, and N is a positive integer; obtaining a target compression bit rate, where the target compression bit rate corresponds to M target gain values, each target gain value corresponds to one first feature value, and M is a positive integer less than or equal to N; respectively processing corresponding first feature values based on the M target gain values to obtain M second feature values; and performing quantization and entropy encoding on at least one processed first feature map to obtain encoded data, where the at least one processed first feature map includes the M second feature values. Thus, compression bit rate control can be implemented in a same compression model.