Abstract: Embodiments of the present application provide a lane line processing method and a lane line processing device. The method can include: performing a binarization processing on a first image to obtain a binary image, the first image including lane line points and non-lane line points; performing a connected domain analysis on the binary image to obtain at least one connected domain in the binary image, the connected domain including a plurality of adjacent lane line points; determining lane line points in a group corresponding to a lane line, based on the connected domain; and obtaining representation information of the lane line corresponding to the group, by using the lane line points in the group.

Abstract: Embodiments of the present disclosure disclose a method for position detection, a device, and a storage medium. The method includes: detecting a first lane line in a current image captured by a camera; performing an optimization on an initial transformation matrix reflecting a mapping relationship between a world coordinate system and a camera coordinate system based on a detection result of the first lane line; and obtaining a first 3D coordinate of a target object in the current image according to a transformation matrix optimized, and determining an ultimate 3D coordinate of the target object according to the first 3D coordinate.

Abstract: A lane line processing method and device are provided. The method can includes obtaining distances between lane line points in a first image, determining direction densities of the individual lane line points by using the distances between the lane line points, dividing lane line points into groups corresponding to lane lines by using the direction densities of the individual lane line points, and obtaining representation information of the lane lines corresponding to the groups by using the lane line points in the groups. By using the direction densities of the individual lane line points, lane line points in an image are divided into groups, the obtained groups are then more accurate, and thus the lane lines obtained by fitting are accurate, are less susceptible to image quality issues, and have high robustness.

Abstract: A lane line tracking method and device are provided. The method can include: projecting a lane line detection result of previous K frames preceding a current frame in a camera coordinate system to a world coordinate system, to obtain a first projection result, wherein K is a positive integer greater than or equal to 1, and the previous K frames are consecutive K frames preceding the current frame; projecting the first projection result of the previous K frames in the world coordinate system to a camera coordinate system of the current frame, to obtain a second projection result; and determining, in the camera coordinate system of the current frame, lane line groups of the current frame, according to lane line groups in the second projection result of the previous K frames.

Abstract: The present disclosure provides a method and a device for generating an image. The method includes: a, obtaining a character recognition result corresponding to a first image, the character recognition result including one or more characters and a first confidence of each character; b, determining a second confidence of a character set including at least one of the one or more characters according to the first confidence of each character in the character set; c, determining a refined character set corresponding to the first image based on the second confidence; and d, performing image processing on a sub image corresponding to the refined character set in the first image, to obtain a second image, an annotation text corresponding to the second image including the refined character set.

Abstract: The present disclosure provides a method and for acquiring text data of a trademark image, a computer device and a non-transitory computer readable storage medium. The method includes the followings. A trademark database including one or more mappings among trademark feature information, trademark description information and trademark text information is established. A to-be-processed image including image description information is acquired. Trademark feature information corresponding to the to-be-processed image is determined. The trademark text information corresponding to the trademark feature information as the text data of the trademark image corresponding to the to-be-processed image according to the one or more mappings in the trademark database when the trademark description information corresponding to the trademark feature information corresponding to the to-be-processed image is contained in the image description information corresponding to the to-be-processed image.

Abstract: Embodiments of the present disclosure disclose a method for position detection, a device, and a storage medium. The method includes: detecting a first lane line in a current image captured by a camera; performing an optimization on an initial transformation matrix reflecting a mapping relationship between a world coordinate system and a camera coordinate system based on a detection result of the first lane line; and obtaining a first 3D coordinate of a target object in the current image according to a transformation matrix optimized, and determining an ultimate 3D coordinate of the target object according to the first 3D coordinate.

Abstract: A lane line tracking method and device are provided. The method can include: projecting a lane line detection result of previous K frames preceding a current frame in a camera coordinate system to a world coordinate system, to obtain a first projection result, wherein K is a positive integer greater than or equal to 1, and the previous K frames are consecutive K frames preceding the current frame; projecting the first projection result of the previous K frames in the world coordinate system to a camera coordinate system of the current frame, to obtain a second projection result; and determining, in the camera coordinate system of the current frame, lane line groups of the current frame, according to lane line groups in the second projection result of the previous K frames.

Abstract: Embodiments of the present application provide a lane line processing method and a lane line processing device. The method can include: performing a binarization processing on a first image to obtain a binary image, the first image including lane line points and non-lane line points; performing a connected domain analysis on the binary image to obtain at least one connected domain in the binary image, the connected domain including a plurality of adjacent lane line points; determining lane line points in a group corresponding to a lane line, based on the connected domain; and obtaining representation information of the lane line corresponding to the group, by using the lane line points in the group.

Abstract: A lane line processing method and device are provided. The method can includes obtaining distances between lane line points in a first image, determining direction densities of the individual lane line points by using the distances between the lane line points, dividing lane line points into groups corresponding to lane lines by using the direction densities of the individual lane line points, and obtaining representation information of the lane lines corresponding to the groups by using the lane line points in the groups. By using the direction densities of the individual lane line points, lane line points in an image are divided into groups, the obtained groups are then more accurate, and thus the lane lines obtained by fitting are accurate, are less susceptible to image quality issues, and have high robustness.

Abstract: The present disclosure provides a method and a device for generating an image. The method includes: a, obtaining a character recognition result corresponding to a first image, the character recognition result including one or more characters and a first confidence of each character; b, determining a second confidence of a character set including at least one of the one or more characters according to the first confidence of each character in the character set; c, determining a refined character set corresponding to the first image based on the second confidence; and d, performing image processing on a sub image corresponding to the refined character set in the first image, to obtain a second image, an annotation text corresponding to the second image including the refined character set.

Abstract: The present disclosure provides a method and for acquiring text data of a trademark image, a computer device and a non-transitory computer readable storage medium. The method includes the followings. A trademark database including one or more mappings among trademark feature information, trademark description information and trademark text information is established. A to-be-processed image including image description information is acquired. Trademark feature information corresponding to the to-be-processed image is determined. The trademark text information corresponding to the trademark feature information as the text data of the trademark image corresponding to the to-be-processed image according to the one or more mappings in the trademark database when the trademark description information corresponding to the trademark feature information corresponding to the to-be-processed image is contained in the image description information corresponding to the to-be-processed image.

Abstract: Embodiments of the present disclosure disclose an image character recognition model generation method and apparatus, and a vertically-oriented character image recognition method and apparatus. The image character recognition model generation method includes: generating a rotated line character training sample, wherein the rotated line character training sample includes a rotated line character image and an expected character recognition result corresponding to the rotated line character image, and there is a difference of 90 degrees between character units in the rotated line character image and character units in a standard line character image; and training a set neural network by using the rotated line character training sample, to generate an image character recognition model.

Abstract: Embodiments of the present disclosure disclose an image character recognition model generation method and apparatus, and a vertically-oriented character image recognition method and apparatus. The image character recognition model generation method includes: generating a rotated line character training sample, wherein the rotated line character training sample includes a rotated line character image and an expected character recognition result corresponding to the rotated line character image, and there is a difference of 90 degrees between character units in the rotated line character image and character units in a standard line character image; and training a set neural network by using the rotated line character training sample, to generate an image character recognition model.

Abstract: An image processing device includes: an image acquiring unit for acquiring an image containing pixels; a picture searching unit for searching for a picture region in the image; a background acquiring unit for performing a background connected region acquiring operation on a non-picture region of the image in which the picture region is not included and the picture region respectively, to obtain a non-picture background connected region and a picture background connected region respectively; a foreground acquiring unit for removing the non-picture background connected region and the picture background connected region from the non-picture region and the picture region respectively, to obtain a non-picture foreground region of the non-picture region and a picture foreground region of the picture region respectively; and a merging unit for merging the non-picture foreground region of the non-picture region and the picture foreground region of the picture region to obtain an ultimate image foreground region.

Abstract: The present disclosure relates to an image processing device and method. The device includes: an acquiring unit for acquiring an image containing an object image; a calculating unit for calculating one or more candidate object image areas based on color and edge characteristics of the image; a selecting unit for selecting a candidate object image area with the maximal similarity to a predetermined color model as a first object image area from the one or more candidate object image areas; a determining unit for determining other of the one or more candidate object image areas as a non-object image area or a second object image area with the first object image area; a creating unit for creating an adaptive color model; and a detecting unit for detecting, based on the adaptive color model, an area containing the object image in the each of the first and second object image areas.

Abstract: An image processing device includes: an image acquiring unit for acquiring an image containing pixels; a picture searching unit for searching for a picture region in the image; a background acquiring unit for performing a background connected region acquiring operation on a non-picture region of the image in which the picture region is not included and the picture region respectively, to obtain a non-picture background connected region and a picture background connected region respectively; a foreground acquiring unit for removing the non-picture background connected region and the picture background connected region from the non-picture region and the picture region respectively, to obtain a non-picture foreground region of the non-picture region and a picture foreground region of the picture region respectively; and a merging unit for merging the non-picture foreground region of the non-picture region and the picture foreground region of the picture region to obtain an ultimate image foreground region.

Abstract: A method and a device for extracting a distorted straight line from an image. The method includes performing a line segment detection process on the image; for each line segment detected, finding adjacent line segments having a low non-collinear degree with a current line segment, so as to combine them together to obtain one or more line segment combinations; and extracting the distorted straight line according to the line segment combination.

Abstract: An image processing device includes: an inputting unit for performing a click on an object image contained in an image to obtain a clicked point; a calculating unit for calculating an edge map of the image; an estimating unit for estimating a color model of the object image based on the clicked point and the edge map; an object classifying unit for classifying each pixel in the image, based on the edge map and the color model, so as to obtain a binary image of the image; and a detecting unit for detecting a region containing the object image based on the binary image. The image processing device and method according to the present disclosure can improve the accuracy of detecting the boundary of an object image such as a finger image, thus facilitating removal of the object image from the image and making the processed image more nice-looking.

Abstract: The present disclosure relates to an image processing device and method. The device includes: an acquiring unit for acquiring an image containing an object image; a calculating unit for calculating one or more candidate object image areas based on color and edge characteristics of the image; a selecting unit for selecting a candidate object image area with the maximal similarity to a predetermined color model as a first object image area from the one or more candidate object image areas; a determining unit for determining other of the one or more candidate object image areas as a non-object image area or a second object image area with the first object image area; a creating unit for creating an adaptive color model; and a detecting unit for detecting, based on the adaptive color model, an area containing the object image in the each of the first and second object image areas.