7results about How to "Same resolution" patented technology

The invention belongs to the technical field of analysis and detection of steel and iron materials, and particularly relates to a method for continuously detecting non-metallic inclusions in steel samples with different heights by utilizing OTS. Comprising the following steps: sequentially preparing a compensating plate, screening a deviation sample group, performing height compensation on a metallographic sample in the deviation sample group by using the compensating plate, and performing sample detection on the compensated deviation sample group. According to the invention, the metallographic sample with large height deviation can be continuously detected, on one hand, continuous work of the electron microscope can be realized without guarding and manpower is saved, on the other hand, an emitter of the electron microscope can be saved, continuous work of the emitter after detection of one sample is avoided, the cost is saved, and the detection efficiency is improved. Therefore, the working efficiency of detecting the non-metallic inclusions by using the OTS full-automatic analysis system for the non-metallic inclusions in the steel is improved.

Embodiments of the present application disclose a kind of image saliency detection method and device.The method comprises: obtaining the image to be detected and the image saliency detection model that has been trained, wherein the image saliency detection model includes high resolution path and low resolution path, high resolution path includes first convolution module and second convolution module, and low resolution path includes third convolution module;The high-resolution feature map of the image to be detected is input to the first convolution module, and the high-resolution feature map is processed to obtain the low-resolution feature map;High-resolution feature map is input to the second convolution module to obtain high-resolution path graph, and low-resolution feature map is input to the third convolution module to obtain low-resolution path graph;High-resolution path graph and low-resolution path graph are fused to obtain the result graph for representing the salient target detected from the image to be detected.The technical scheme of the embodiment of the present application can realize high-precision image saliency detection.

The invention discloses a remote sensing technology-based land surveying and mapping system, which comprises a land basic information acquisition module, a precision data processing module, an image analysis processing module, a comprehensive identification processing module and a surveying and mapping information output module, and relates to the technical field of remote sensing surveying and mapping. According to the method, the technical problems of missing detection, false detection or discontinuity when the boundary in the image is identified are solved, through double screening of similar image judgment and boundary correlation verification, it is ensured that only effective image pairs containing the land boundary are reserved, boundary complementation is achieved through a double-image boundary fusion algorithm, and missing detection of a single image is avoided; the contour is optimized in combination with the parameterized Canny algorithm, compared with existing pure edge detection, the boundary burr removal rate and the shape fidelity are improved, curvature screening and distance constraint strategies are adopted for key inflection point extraction, core features are reserved while redundant points are removed, and the boundary point set precision is improved.

This invention discloses an adaptive wellbore correction method based on a wellbore response database, belonging to the field of geophysical logging technology. This adaptive wellbore correction method, based on a wellbore response database, is applied to actual logging data from the small-diameter array induction logging instrument HACRT. For wellbore impacts with intrusion, a wellbore correction model with intrusion is introduced. The intrusion impact is calculated using geometric factors, and the wellbore response is calculated using the wellbore response database to obtain a logging response estimate. This invention solves problems such as skin effect correction of the wellbore model response signal, inconsistency between the wellbore model and the actual logging environment, and multiple solutions in wellbore model parameter inversion. It considers engineering problems in actual logging data processing and is adaptable to harsh well conditions such as larger well diameters and low-resistivity salt-cement slurries.

The invention relates to the technical field of bridge bottom appearance state detection, in particular to a bridge bottom surface appearance state detection device and method, which comprises a main vehicle body, a first imaging device, a second imaging device, a photoelectric rotary encoder, a data acquisition and control computer and a power supply, the first imaging device, the second imaging device, the photoelectric rotary encoder, the data acquisition and control computer and the power supply are all arranged on the main vehicle body, and the power supply supplies power to the first imaging device, the second imaging device, the photoelectric rotary encoder and the data acquisition and control computer; the first imaging device, the second imaging device and the photoelectric rotary encoder are respectively connected with the data acquisition and control computer; the photoelectric rotary encoder is connected with the first imaging device and the second imaging device. The device can realize non-contact detection of the appearance state of the bottom surface of the beam body, is convenient to carry and assemble, can accurately identify appearance diseases of the bottom surface of the beam body, and avoids subjective deviation existing in manual visual detection.

The present disclosure provides an image processing method, device, medium and electronic device based on artificial intelligence, which relates to the field of artificial intelligence. The method includes: obtaining an original face image, extracting features from the original face image to obtain a face area image; inputting the face area image into a generative network model, extracting features from the face area image through the generative network model, and generating a first image based on the extracted features; wherein the features of the target object in the first image are different from the features of the target object in the original face image; aligning and superimposing the first image with the original face image to obtain a second image. The present disclosure can process the received face image in real time, and can also keep the resolution of the generated image the same as that of the original face image, thereby improving the quality of the generated image and thus improving the user experience.

The present invention discloses a method, device, equipment and storage medium for processing print data of a nozzle, and relates to the technical field of inkjet printing. The method logically splits a color channel with a higher resolution so that the resolution of the color channel and the black channel are consistent, thereby helping to simplify the data processing of the color channel print data and the black channel print data, arranging and transmitting the color channel print data and the black channel print data according to a set data format, storing them in different storage modules respectively, and reading them from the corresponding storage modules respectively during printing, which can improve the efficiency of data transmission and processing, reduce the complexity of data processing, and help to optimize the process of inkjet printing when printing with nozzles with different channel resolutions, and improve printing efficiency and stability.