9results about How to "Increase differentiation" patented technology

A method for enhancing steel surface images based on a regional autonomous strategy belongs to the field of computer vision and image processing technology. The steps are as follows: 1. Image preprocessing: Acquire the original image of the steel surface and convert the input RGB color image to a grayscale image; 2. Defect region detection: Use the Canny edge detection algorithm to perform edge detection on the grayscale image and extract potential defect boundary information; 3. Regional CLAHE enhancement: Based on the region mask generated in step 2, perform contrast-limited adaptive histogram equalization on the defect region and the background region respectively, and set different enhancement parameters; 4. Median filtering; 5. Weighted image fusion: Perform weighted fusion processing on the enhanced image obtained in step 3 and the filtered image obtained in step 4 to obtain the final output image. This invention can improve the overall quality and defect identifiability of steel surface images through the above method.

The application discloses a portable multifunctional energy storage and power supply equipment which is expandable and detachable, and belongs to the field of new energy storage and application. The equipment comprises more than one energy storage and power supply unit, and adjacent energy storage and power supply units are arranged in a stacked mode and are electrically connected with each other. The energy storage unit comprises a unit main body, the unit main body comprises more than one module expansion bin, a functional module is arranged in the module expansion bin, the unit main body is provided with a unit control panel at a position corresponding to the module expansion bin, a standard interface terminal is arranged on the unit control panel, a module control panel is arranged in the functional module, a standard interface which is matched with the standard interface terminal is arranged on the module control panel, and the standard interface terminal is electrically connected with the standard interface. The energy storage and power supply equipment has expandability, can integrate different functional modules through a unified standard interface, greatly widens the application range of energy storage products, expands application scenarios, and makes the energy storage and power supply equipment more portable.

The application discloses a dynamic residual error mixed expert low-illumination image enhancement method and device and a storage medium, and relates to the technical field of image processing. The method separates and models image structure information and texture information in a latent representation space. Secondly, a mixed expert network and a multi-scale hierarchical denoising network structure are used to realize fine denoising and reconstruction. Finally, a unified model framework is constructed to restore key structures and detail features in low-light images. The application can be widely applied to image enhancement processing in the fields of night monitoring, automatic driving, mobile photography, remote sensing detection and the like.

The application provides a test case automatic generation system based on mutation, which analyzes initial test cases, obtains corresponding component structures and field type information according to case subnode data obtained through analysis, and generates new test cases by applying mutation operations with correct semantics according to the type of corresponding subnode data, thus solving the problem that mutation operations damage the format of test cases and cannot generate effective test cases. Meanwhile, the application uses randomization and semantic-based mutation, adopts corresponding semantic mutation strategies according to the type of data, enhances the pertinence and effectiveness of generated test cases, enhances the difference and richness of generated test cases through randomization mutation strategies, and adopts a plurality of mutation strategies designed according to the characteristics of XML and JSON formats, so as to eliminate the difference of XML and JSON format test case generation tasks from different sources to the greatest extent and enhance the universality of the test case generation method.

This invention discloses a method and system for multimodal emotion recognition of speech and facial expressions in smart buildings. The method includes: preprocessing collected speech information and facial expression videos, including: extracting MFCC features from the speech information; segmenting the facial expression video into frames and extracting facial expression regions from the facial expression images; inputting the MFCC features into a residual network model to extract high-order emotion features from the speech information; inputting the segmented facial expression images and the extracted facial expression regions into a 3D-CNN model to extract high-order emotion features from the facial expression images; and using an MLP model to perform multimodal fusion of the high-order emotion features of the speech information and facial expression images to identify the emotional state of the person. During the fusion process, a pre-designed loss function is used to complete end-to-end training of the multimodal feature fusion of speech and facial expression images, and to increase the difference between the high-order emotion features of the speech information and facial expression images. This invention can improve the recognition rate of multimodal emotion recognition of speech and facial expression images.

Embodiments of the present disclosure disclose an information interaction method and device, electronic equipment, medium and product. The method comprises: obtaining accessory identification information corresponding to a to-be-identified accessory when the to-be-identified accessory is attached to a heating smoking set; determining an accessory verification result corresponding to the to-be-identified accessory according to the accessory identification information and a preset verification mode; and in the case that the accessory verification result is verified, retrieving interaction information corresponding to the to-be-identified accessory according to the accessory identification information; wherein the interaction information is used to present the interaction feedback effect of the to-be-identified accessory in the working state. The technical scheme realizes the digital and intelligent linkage between the heating smoking set and the accessory, upgrades the traditional accessory with only physical function to the intelligent accessory that can provide exclusive interaction feedback, and effectively improves the differentiated and immersive use experience of the user for the heating smoking set.

The application discloses a kind of generation method and device of automobile accessory adaptation model, it is related to computer technology field.The specific embodiment of the method includes: in response to the generation request of automobile accessory adaptation model, obtain not less than one initial sample;Select not less than one positive sample label corresponding initial sample as first initial sample, for each first initial sample, according to the first perturbation rule of preestablished, first initial sample is perturbed and handled, and the sample label of first initial sample after perturbation processing is modified as negative sample label;According to the second initial sample of first initial sample and initial sample except in addition to first initial sample, generate training sample and carry out model training, generate automobile accessory adaptation model.This embodiment can improve the quantity and construction efficiency of negative sample, so that negative sample has the feature of inadaptation relationship, so that the accuracy of automobile accessory adaptation model is higher, improves use effect.

The cross-flow fan comprises a first end cover, a second end cover and at least one blade assembly, the first end cover and the second end cover are oppositely arranged in the first direction, and the blade assembly is arranged between the first end cover and the second end cover and comprises a plurality of blades. The plurality of blades are arranged at intervals in the circumferential direction of an imaginary circle; each blade is provided with a blade root close to the circle center of the imaginary circle and a blade top away from the circle center of the imaginary circle, and at least part of the contour line of each blade top is a waveform line extending in the first direction; the waveform line comprises a plurality of waveform segments arranged in the first direction, at least two waveform segments are different in shape, or at least one waveform segment is of a non-axisymmetric structure. According to the cross-flow fan provided by the embodiment of the utility model, when air flows through the blades, periodic vortex falling of the blade tops of the blades can be inhibited, flow separation and vortex intensity are reduced, and noise can be reduced under the condition of the same air volume.

The invention provides a registration and fusion dual-drive misaligned infrared and visible light image fusion method, which comprises the following steps of: firstly, extracting multi-scale common features which are irrelevant to modes and have higher discrimination through a multi-scale feature extraction module based on comparative learning; then, similarity is calculated according to inter-modal multi-scale common features, a dense deformation field is generated, and a registration image is obtained; thirdly, inputting the registered image and the corresponding fixed image into a feature extraction module to obtain image features, and performing feature fusion through a designed collaborative attention fusion module; the fusion module combines window attention, gradient channel attention and feedback characteristics of image fusion on registration, and realizes fine alignment of the characteristics and redundant characteristic suppression of dislocation; and finally, generating a final fusion image from the fusion features through a feature reconstruction module. In conclusion, collaborative optimization of registration and fusion is achieved, and artifacts generated in the fusion process of the unregistered infrared and visible light images are effectively reduced.