13results about How to "Rich texture" patented technology

The invention provides an image enhancement optimization method based on multi-strategy improved sparrow search. The method comprises the following steps: performing normalization processing on a gray value of each pixel point of an original image; initializing a sparrow population and parameters according to an elite chaos reverse learning strategy; the method comprises the following steps: preprocessing an input image by adopting a dual gamma function BiGA; calculating the value of the evaluation function; updating the optimal fitness value of the sparrow population; when an iteration stop condition is not met, updating the position of the sparrow population by adopting a probabilistic following strategy, a self-adaptive local search strategy and a Cauchy Gaussian mutation strategy, and updating parameters of a dual gamma function BiGA; otherwise, ending iteration, and calculating an optimal parameter; processing the image, and outputting an enhanced image; according to the method, the visual effect of the image can be improved, edge details and textures can be richer, and the enhanced image can have higher contrast and better definition. The method is best in overall enhancement effect, and the obtained image is better in quality.

The utility model relates to a fountain equipment technical field, especially a pencil type circulating fountain, including the pen point, the pen point top outer wall fixedly connected rotating base, rotating base inner wall fixedly connected first motor, first motor output fixedly connected gear, the rotating base inner wall has set up first sliding slot, the rotating base top outer wall sliding connection pen barrel outer wall, the pen barrel inner wall is fixedly provided with the toothed disc, the toothed disc is engaged with the gear, the utility model discloses through starting the first motor in rotating base, drives the gear and toothed disc engagement transmission, drives pen barrel rotation. The waterproof color light bar of pen barrel outer wall synchronous display changeable light, create the visual effect of dynamic and gorgeous multicolored, make the fountain become the visual focus, simultaneously, the atomizer and the spray head that added, let the fountain on the basis of traditional water flow injection, add the landscape level that water mist diffuses and rain curtain sprays, the form and the texture of the fountain are enriched.

This invention relates to a video object removal method based on a text-based video model and learnable negative tokens, comprising: acquiring the original video to be processed and a specified target to be removed; segmenting the target to be removed using a video segmentation model to generate a corresponding video mask sequence; preprocessing the original video and the video mask sequence to obtain masked video latent features and mask latent features; constructing an object removal model based on a text-based video model, wherein the object removal model retains the cross-attention module of the pre-trained text-based video model; setting the text prompt input to empty and introducing learnable negative tokens; inputting the masked video latent features, mask latent features, and negative tokens into the object removal model; the object removal model processes the negative tokens through the cross-attention module, suppressing object generation features within the mask region, and generating filling content based on video background information; and outputting the video after removing the specified target.

The invention discloses a high-strength colorful TPU composite decorative film and a preparation method thereof, and belongs to the field of materials.The high-strength colorful TPU composite decorative film comprises an anti-fouling layer, an appearance layer, an anti-bending layer, a framework layer and a substrate layer which are sequentially compounded from outside to inside, and the two sides of the anti-bending layer are each coated with an adhesive layer. The manufactured high-strength colorful TPU composite decorative film has good mechanical properties such as tensile strength and tearing strength, excellent dimensional stability and 50%-95% ductility, does not rebound and is used for an edge covering processing and forming process of a curved surface material, in addition, the surface of the TPU composite decorative film has the design advantages of various textures, rich colors, diversified patterns and the like, and the TPU composite decorative film has a good market prospect. And the coating has the characteristics of surface smudginess resistance and wide application in the fields of aerospace, home textiles, home decorations and the like.

The present application relates to the field of robot environment perception, and is used for solving the problem that the existing robot environment perception system lacks a unified and efficient hierarchical fusion architecture to systematically process multi-source heterogeneous data, in particular to a robot real environment perception early warning system for multi-sensor data fusion; the present application significantly improves the comprehensiveness and accuracy of environment perception through the cooperative work of laser radar, visual camera, millimeter wave radar and ultrasonic sensor; through the progressive processing flow of space-time registration, cross-checking, feature definition to deep fusion, the multi-source information is sorted by confidence and features are extracted, and the heterogeneous feature fusion module generates an environment dynamic semantic map rich in texture, structure, motion and semantic information by means of convolutional neural network, which provides accurate and comprehensive information basis for early warning decision, and at the same time, the dynamic hierarchical early warning mechanism provides reliable guarantee for robot safety and autonomous operation.

The application belongs to the field of image processing, and proposes a multispectral image fusion framework of an optimized double-branch feature pyramid, aiming to solve the problems of unnatural color and contrast mismatch that may occur when fusing infrared and visible light images under dark light conditions. First, a multi-scale residual module is used to strengthen feature extraction, and a Canny filter is integrated to capture feature information. Second, shallow and deep fusion modules are used to realize information fusion, and a weighted loss guide process of gradient and contrast is designed. Finally, a residual connection feature reconstruction module is used to splice and reconstruct the features of the fused image. The application can effectively realize the fusion of infrared and visible light images based on low light scenes, has excellent feature extraction capability and high-quality visual fusion effect, and can ensure high contrast, rich background and other features.

The shoulder-sleeve-free multi-layer bottle opening cover structure comprises a pump head installed at the top of a cosmetic bottle, the cosmetic bottle comprises a bottle body, the bottle body is provided with a bottle opening, the pump head is connected with the bottle opening in a clamped mode, and the pump head comprises a vacuum pump body, a clamping cover inner cover and a clamping cover outer cover; the protective cover comprises an outer protective cover body and an inner protective cover body which are made of the same material or different materials, and the inner protective cover body is connected to the inner wall of the outer protective cover body in a sleeving mode; the bottom of the inner protective cap extends downwards to abut against the bottle shoulder and extends outwards in the circumferential direction of the inner protective cap to form an abutting portion, the top of the abutting portion abuts against the lower edge of the outer protective cap, and the periphery of the abutting portion is exposed. The protective cover is composed of the protective outer cover and the protective inner cover, so that the protective cover is of a double-layer structure, the impact resistance of the protective cover is improved, and the service life of the protective cover is further prolonged; meanwhile, the color and the texture of the protective cover are richer through the exposed abutting part, and the attractiveness of the cosmetic bottle is improved.

The invention relates to the technical field of ceramics and preparation thereof, in particular to a high-temperature under-glaze colored porcelain flower and a preparation process thereof.The high-temperature under-glaze colored porcelain flower is formed by gathering a plurality of flowers, each flower comprises a flowering branch, a stamen and petals, the stamen is located at the top end of the flowering branch, and the petals surround the flowering branch and the stamen. A vivid flower shape with a thin wall is prepared through a special forming process, the flowers are bonded into a bouquet, the petals of the bouquet are sprayed with the underglaze color, the bouquet has beautiful color and overall unique aesthetic feeling, and the underglaze color is bright in color and not prone to fading through high-temperature firing.

The utility model discloses a weatherability polyurethane composite fabric, including: base material layer, antistatic flame retardant layer, waterproof breathable layer and moisture permeable lining layer, the upper surface of base material layer is fixedly connected with antistatic flame retardant layer, the upper surface of antistatic flame retardant layer is fixedly connected with waterproof breathable layer, the lower surface of base material layer is fixedly connected with moisture permeable lining layer. The antistatic fabric has the beneficial effects that the antistatic property of the fabric is improved through the conductive fibers, the harm of static electricity to a human body and unpleasant sensation caused by the static electricity when the fabric is put on and taken off can be eliminated, the conditions of close fitting and entanglement of clothes caused by the static electricity can be eliminated, and the fabric has the characteristics of high temperature resistance, good flame-retardant effect and the like through the glass fibers and the polyester fibers.

The invention provides a decoupling-guided unmanned aerial vehicle thermal infrared image super-resolution model and method and a training method, and belongs to the technical field of computer vision and image processing. The model integrates a specific attribute guiding module, and different branches are designed for image under the conditions of low illumination, foggy and normal illumination to carry out feature processing. Effective feature extraction of the visible light image in different scenes is ensured. And the perception attribute fusion module realizes adaptive aggregation of the features of the three branches. The multi-scene visible light guiding module uses multiple attention mechanisms to realize feature interaction of the visible light image and the thermal infrared image, and realizes efficient guiding of the visible light image to the thermal infrared image. Compared with an existing most advanced single-image super-resolution method and a guide type super-resolution method, richer texture and structure details are recovered, and better performance is achieved in the aspects of evaluation indexes and visual perception.

The present invention provides a part that can express various textures through decoration formed by laser beams and a manufacturing method thereof. The part of the present invention is a part obtained by laser beam processing a decorative area on the surface, and has a plurality of types of decorative patterns formed in the decorative area, which are composed of a plurality of grooves extending in the same direction, and the extending direction of the grooves is different for each of the plurality of types of decorative patterns.

The invention relates to a formaldehyde-free veneer and a preparation method thereof. The formaldehyde-free veneer is formed by compositing a formaldehyde-free plate and improved formaldehyde-free veneer paper through a flat pasting process. The aldehyde-free plate comprises a substrate layer, a balance layer and a hardened primer layer. The preparation of the aldehyde-free plate involves multiple processes and uses an innovative aldehyde-free adhesive. The preparation method of the formaldehyde-free veneer paper provided by the invention comprises the following six steps: preparing a formaldehyde-free adhesive, preparing a formaldehyde-free plywood and a formaldehyde-free core-board base material, manufacturing the formaldehyde-free plywood and a formaldehyde-free core-board base plate, hardening a formaldehyde-free board, preparing formaldehyde-free paper with high surface performance, and compounding and manufacturing the formaldehyde-free veneer. The formaldehyde-free adhesive technology, the polymer surface treatment technology and the artificial board low-temperature bonding low-energy-consumption production technology are fused, and the production process is advanced and efficient; in each technological process, through accurate parameter control and advanced equipment and technology application, the stability and consistency of product quality in the large-scale production process are guaranteed, and the novel formaldehyde-free energy-saving veneer is prepared.

The invention belongs to the technical field of unmanned driving, and particularly relates to a sensing method and device based on multi-radar and camera fusion and a vehicle, and the method comprises the steps: obtaining the original point cloud data of a plurality of radar sensors and the image data of a camera, carrying out the space-time alignment of the original point cloud data and the image data, and obtaining the image data of the camera; generating a depth map of the image by using the data after space-time alignment; the depth map is input into a wavelet DSIRes2Net module, multi-scale information is extracted, and output features are formed; the output features are sent to a feature fusion module for feature integration, and the three branches are spliced in the channel dimension when the model is output; the spliced features are sent to three task decoders, obstacle instance segmentation, drivable region segmentation and depth prediction are carried out through different encoders, and loss between different tasks is balanced in a self-adaptive manner, so that image results are obtained to present different regions of an obstacle module and a drivable region boundary. The method is used for solving the problem of poor multi-sensor fusion perception.