This application relates to the field of digital image processing technologies, and discloses an image-text fusion method and apparatus, and an electronic device, to minimize blockage of a saliency feature in an image by a text when the text is laid out in the image, and obtain a higher visual balance degree after the text is laid out in the first image, thereby achieving a better layout effect. According to the method of this application, first, a plurality of candidate text templates and layout positions of a plurality of corresponding texts in an image can be determined, so that a text laid out in the image does not block a visually salient object having a greater feature value, such as a human face or a building. Then based on magnitudes of feature values of pixels blocked by the text, a balance degree of feature value distribution of pixels in each region in the image in which the text is laid out, and the like when the text is laid out in the image at corresponding layout positions in the image by using different text templates, a final text template of the text and a layout position of the text in the image are determined.

A method for restoring video data of a pipe based on computer vision is provided. The method includes: performing gray stretching on pipe image/video collected by a pipe robot; processing noise interference by smoothing filtering; extracting an iron chain from the center of a video image as a template for location; performing target recognition on the center of video data by an SIFT corner detection algorithm; detecting ropes on left and right sides of a target by Hough transform; performing gray covering on the iron chain at the center of the video image and the ropes on two sides; and restoring data by an FMM image restoration algorithm.

The present disclosure refers to methods and system for classifying rocks according to their minerals from the processing of color images and hyperspectral images. The methods and systems of this disclosure achieve an efficient and low-cost classification of rocks with minerals. In particular, the method uses classification methods that take color images and hyperspectral images and give as a result a probability that the rock or rocks present in said images are suitable or waste.

The present disclosure refers to methods and system for classifying rocks according to their minerals from the processing of color images and hyperspectral images. The methods and systems of this disclosure achieve an efficient and low-cost classification of rocks with minerals. In particular, the method uses classification methods that take color images and hyperspectral images and give as a result a probability that the rock or rocks present in said images are suitable or waste.

The present technology relates to an image processing device, an image processing method, a learning device, a generation method, and a program for enabling generation of an image in which an appropriate texture is expressed in each region.

An image processing device according to the present technology generates a control signal indicating the texture of each region in an output image as an inference result on the basis of an input image to be processed, inputs the input image to an inference model, and infers the output image in which each region has a texture indicated by the control signal, the inference model being obtained by performing learning based on a trainee image and a training image, the trainee image being generated by performing predetermined image processing on the training image, the texture of each region being expressed by a texture label in the training image. The present technology can be applied to various kinds of devices that handle images, such as TV sets, cameras, and smartphones.

The present technology relates to an image processing device, an image processing method, a learning device, a generation method, and a program for enabling generation of an image in which an appropriate texture is expressed in each region.

An image processing device according to the present technology generates a control signal indicating the texture of each region in an output image as an inference result on the basis of an input image to be processed, inputs the input image to an inference model, and infers the output image in which each region has a texture indicated by the control signal, the inference model being obtained by performing learning based on a trainee image and a training image, the trainee image being generated by performing predetermined image processing on the training image, the texture of each region being expressed by a texture label in the training image. The present technology can be applied to various kinds of devices that handle images, such as TV sets, cameras, and smartphones.

Provided are a method and apparatus for processing map information, a device, and a storage medium which relate to the field of computer technology and, in particular, to the fields of intelligent transportation and computer vision technology. The specific implementation includes that an object in an image for query is recognized to obtain an object recognition result and that a target point of interest matching the image for query is selected from at least one candidate point of interest of an electronic map according to the object recognition result.

Disclosed are an electronic apparatus and a method of controlling the same. With this, an integrated circuit (IC) chip provided in a card is recognized by identifying whether or not a signal is received from the card, optical character recognition is performed with regard to an image corresponding to the card, at least one of unevenness present on the card and material characteristics of the card is detected by performing image processing with regard to the image when the IC chip is not recognized, the card is identified as a real card in a case where the IC chip is recognized, and the card is identified as the real card when the unevenness is present on the card or the material characteristics are about the real card and the card is identified as a copy card when the unevenness is not present on the card and the material characteristics are not about the real card in a case where the IC chip is not recognized, under a condition that the card is provided to make payment based on the optical character recognition.

Disclosed are an electronic apparatus and a method of controlling the same. With this, an integrated circuit (IC) chip provided in a card is recognized by identifying whether or not a signal is received from the card, optical character recognition is performed with regard to an image corresponding to the card, at least one of unevenness present on the card and material characteristics of the card is detected by performing image processing with regard to the image when the IC chip is not recognized, the card is identified as a real card in a case where the IC chip is recognized, and the card is identified as the real card when the unevenness is present on the card or the material characteristics are about the real card and the card is identified as a copy card when the unevenness is not present on the card and the material characteristics are not about the real card in a case where the IC chip is not recognized, under a condition that the card is provided to make payment based on the optical character recognition.

Techniques for texture-based authentication of digital identity documents are disclosed. The disclosed techniques include authentication based on global texture information and/or on local texture information. Global texture-based authentication may include generating a global texture profile for an identity document image and comparing the global texture profile with a stored profile associated with a jurisdiction class of the identity document. Local texture-based authentication may include generating one or more local texture patches representative of texture information of one or more select local blocks of the ID. The one or more local texture patches are provided as input to one or more local detectors each trained to detect the presence of a forgery based on a target manipulation space.