16 results about "Digital image analysis" patented technology

The invention discloses a large-scale visualized direct shear test device and method for geosynthetics. The device comprises a main frame, an upper shear box, a lower shear box, a normal cyclic loading system, a horizontal cyclic shear loading system, a data acquisition system and a visualized monitoring system. The direct shear test device is characterized in that the direct shear test device can perform normal and horizontal cyclic loading at the same time, and normal stress with different frequencies and amplitudes can be applied according to needs to simulate a test of the characteristics of the reinforcement-soil interface under the cyclic loading effect; one side wall of the upper shear box and one side wall of the lower shear box are transparent observation windows, and a high-speed camera and a digital image analysis method are combined, so that the shear band evolution process can be visually observed and quantitatively analyzed; the shear box is large in size, and the size effect is effectively overcome. According to the invention, the interface characteristics under the cyclic load effect in the road engineering can be reflected more truly and comprehensively, the size and the function of the shear box are comprehensive, and the interface mechanical characteristics and the interaction mechanism under various working conditions can be simulated.

The invention relates to the technical field of nondestructive testing of low-carbon steel, and particularly discloses a thermal double-sensitive composite coating as well as a preparation method and application thereof. The thermal double-sensitive composite coating comprises a stress sensitive fluorescent layer and a thermochromic layer, the stress sensitive fluorescent layer adopts core-shell hybrid particles with a force-induced fluorescence enhancement effect as key functional filler, and the thermochromic layer adopts an IPN-based irreversible thermochromic material as a core functional material. The stress-sensitive fluorescent layer and the thermochromic layer are prepared from novel self-made functional materials, so that the thermal double-sensitive composite coating has the functions of high-sensitivity signal sensing, optical enhancement and permanent recording, and is assisted by a load excitation and digital image analysis process; stress-temperature coupling field information excited by the deep defect under the load is converted into a visual signal which is high in strength, high in anti-interference performance and capable of being recorded permanently, and accurate positioning, quantification and classification of the defect are achieved.

Techniques for scanning physical media on physical items and providing information about those physical items are provided. In one technique, a digital image that is generated by a mobile device and that indicates a list of ingredients in an item is identified. Text that contains the list of ingredients is identified within the digital image. It is determined whether a particular ingredient in the list of ingredients satisfies one or more criteria. In response to determining that the particular ingredient satisfies the one or more criteria, the digital image is modified by causing a portion, of the text within the digital image, that corresponds to the particular ingredient, to be highlighted while the digital image is displayed on a screen of the mobile device. In a related technique, the mobile device performs all the steps, whereas in another technique, a remote server performs one or more of the steps.

The present application is directed to identifying a gender of a chick. A method includes: causing a chick to transition along a path that is associated with a stimulus for provoking an open stance by the chick; obtaining one or more images of the chick in the open stance; determining one or more gender-related features of the chick based at least in part on the one or more images; and determining a gender of the chick based in part on the one or more gender-related features. One or more portions of the method can include any various machine learning techniques, such as supervised machine learning and / or unsupervised machine learning. For example, a supervised machine learning approach can be employed to train a neural network to identify a pose of a chick, identify gender-related features associated with the chick's wing, and / or assess the gender-related features for making a gender determination.

A system and method that identify a person at a bank branch, obtain information about the person, tailor certain bank products and services for the person based on the information about the person and present the tailored products and services to the person. The method includes taking images in the bank branch including images of bank branch customers, processing the images provided by the imaging system using a machine learning model, identifying a particular person in the images that is a customer of the bank, processing data and information about the identified person using the machine learning model, identifying bank products and services that are tailored to the identified person based on the processed data and information using the machine learning model, and providing information about the bank products and services to the bank branch in real time while the identified person is still at the bank branch.

This invention proposes a feature extraction method for texture images, belonging to the field of digital image analysis and image classification technology. The feature extraction method includes: inputting the texture image into a feature extractor based on the Vision Mamba architecture to extract a high-level feature map of the texture image; performing spatial domain processing and frequency domain processing on the high-level feature map in parallel to obtain a spatial feature map and a frequency feature map, respectively; and fusing the spatial feature map and the frequency feature map through a bidirectional cross-attention mechanism to generate a fused feature map. The feature representation generated by this method integrates spatial details and frequency structure information, exhibiting stronger discriminative power and robustness to disturbances such as scale and deformation. Furthermore, leveraging the efficient computational characteristics of its backbone network, it can quickly complete feature extraction with lower resource overhead, thereby providing higher-quality and more efficient feature input for downstream recognition tasks.

This invention belongs to the field of image processing technology and discloses a remote digital image analysis collaborative system. It includes: a virtual diagnosis module: acquiring continuous pathological slide sequences and performing spatial registration to obtain registered slides; a model building module: performing three-dimensional voxel reconstruction on the registered slides to obtain a three-dimensional voxel reconstruction model, followed by semantic enhancement to obtain a three-dimensional pathological voxel model; a collaborative interaction module: generating G virtual avatars of experts based on VR technology, annotating the three-dimensional pathological voxel model, and obtaining spatial anchor point annotation data for the experts; a graph-driven module: constructing a structured semantic tree based on the spatial anchor point annotation data, detecting annotation conflicts, and obtaining annotation conflict detection results; and a conflict resolution module: resolving conflicts in the annotation conflict detection results to obtain consensus suggestions. This invention improves the collaborative efficiency and reliability of conclusions in remote diagnosis, providing a systematic solution for the accurate diagnosis of complex pathological cases.

Techniques for scanning physical media on physical items and providing information about those physical items are provided. In one technique, a digital image that is generated by a mobile device and that indicates a list of ingredients in an item is identified. Text that contains the list of ingredients is identified within the digital image. It is determined whether a particular ingredient in the list of ingredients satisfies one or more criteria. In response to determining that the particular ingredient satisfies the one or more criteria, the digital image is modified by causing a portion, of the text within the digital image, that corresponds to the particular ingredient, to be highlighted while the digital image is displayed on a screen of the mobile device. In a related technique, the mobile device performs all the steps, whereas in another technique, a remote server performs one or more of the steps.

This invention discloses a multi-gene mutation prediction method based on a combination of multi-task and multi-instance learning. Belonging to the fields of digital image analysis, pathology, and machine learning, the specific steps are as follows: Preprocessing existing pathological image data by staining normalization; constructing a feature matrix for each pathological image, and further using a two-layer multi-instance learning method to construct a package for each pathological image; constructing a multi-task deep learning network based on transformer and MobileNet; applying the model to a test set and outputting pathological image analysis results. This invention employs a multi-task deep neural network and applies it to the task of predicting multiple gene mutations based on pathological images. Compared to traditional single-task networks, this invention can simultaneously predict the results of multiple tasks, saving computational resources while improving accuracy; furthermore, combining the transformer module with traditional convolution considers both local and global features.

The invention relates to the technical field of medical detection, in particular to an antibody combination for detecting spermatogenic cells, a kit and application of the antibody combination. The antibody combination comprises an antibody of a zinc finger transcription factor 4, an antibody of a conjugation complex protein 3 and an antibody of zona pellucida binding protein. Specific recognition and semi-quantitative analysis of spermatogenic cells of all levels in samples are realized through standardized pretreatment, full-automatic immunohistochemical staining and digital image analysis for different types of samples; the method breaks through the technical bottlenecks that the traditional HE staining or Wright-Giemsa staining method is strong in subjectivity, difficult to distinguish cells with similar forms and greatly influenced by cell states and staining effects, and provides an efficient detection means for accurate pathological typing, spermatogenic function evaluation and dynamic curative effect monitoring of male infertility.

The present disclosure relates at least to the inspection of straws. A method and an arrangement for inspecting a straw are disclosed, involving the use of the straw as a light guide for inspecting the side wall of the straw based on light leakage of guided light emitted from the straw via the side wall, such as by way of damage in the side wall. It illuminates a first portion of the straw by means of one or more light sources, such that at least some of the light on the first portion is transmitted through the side wall of the straw into the straw and guided therein. One or more digital images are provided of another, second portion of the straw during said illumination. A light pattern captured by the one or more digital images is analysed, which corresponds to light escape of internally reflected light emitted from the second portion of the straw via the side wall of the straw. Damage can be detected as local spots of image data differences.

The system according to this embodiment aims to efficiently identify areas for improvement in digital illustrations and support the user in improving their drawing skills. [Solution] The system according to this embodiment comprises a reception unit, an analysis unit, a suggestion unit, and a provision unit. The reception unit receives the user's digital illustration. The analysis unit analyzes the digital illustration received by the reception unit. The suggestion unit suggests areas for improvement in the illustration based on the results of the analysis by the analysis unit. The provision unit provides the user with the areas for improvement suggested by the suggestion unit.

This invention relates to the field of nondestructive testing technology for low-carbon steel, specifically disclosing a thermo-sensitive dual-sensitivity composite coating, its preparation method, and its application. The thermo-sensitive dual-sensitivity composite coating comprises a stress-sensitive fluorescent layer and a thermochromic layer. The stress-sensitive fluorescent layer uses core-shell hybrid particles with mechanoluminescence enhancement as key functional fillers, while the thermochromic layer uses an irreversible thermochromic material based on IPN as the core functional material. This invention uses novel self-made functional materials to prepare the stress-sensitive fluorescent layer and thermochromic layer, enabling the thermo-sensitive dual-sensitivity composite coating to possess high-sensitivity signal sensing, optical enhancement, and permanent recording functions. Coupled with load excitation and digital image analysis processes, it transforms the stress-temperature coupled field information excited by deep defects under load into a high-intensity, highly interference-resistant, and permanently recordable visual signal, achieving precise location, quantification, and classification of defects.

Computer-implemented digital image analysis methods, apparatuses, and systems for robotic installation of surgical implants are disclosed. A disclosed apparatus plans a route within an anatomy of a patient from an incision site to a surgical implant site for robotic installation of a surgical implant. The apparatus uses digital imaging data to identify less-invasive installation paths and determine the dimensions of the surgical implant components being used. The apparatus segments the surgical implant into surgical implant subcomponents and modifies the surgical implant subcomponents, such that they can be inserted using the identified less-invasive installation paths.

The invention discloses a gastric cancer pathological tissue biopsy digital image analysis method, and relates to the field of image segmentation. The method mainly comprises the following steps: acquiring a pathological grayscale image; determining a first evaluation index according to the distribution deviation of the gray values in the connected domain; determining a second evaluation index according to the local saliency features at the pixel points in the connected domain and the overall gray level gradient trend; performing segmentation based on a comprehensive judgment index determined by the first evaluation index and the second evaluation index to obtain a region of interest; sequentially screening out a first type of regions and a second type of regions from all the regions of interest; dividing the second type of region into a low differentiation cell region and a suspected high differentiation cell region according to the area of the second type of region; and based on the local density of the pixel points in the suspected highly-differentiated cell region, segmenting the highly-differentiated cell region. According to the invention, region segmentation is carried out according to the wettability growth and shape features of the lesion region in the pathological grayscale image, and the segmentation precision of the pathological grayscale image is improved.

The invention discloses a hydraulic concrete bed load abrasion simulation device, which relates to the technical field of hydraulic structure safety assessment, and comprises the following steps: simulating real river water flow by adjusting the gradient of a bottom plate, the flow velocity, bed load particles and the like, and reproducing the concrete abrasion damage process. Aiming at the problems that an existing evaluation index is difficult to quantify a punching and grinding process, and response association between damage evolution and multiple indexes is not established, multi-parameter dynamic monitoring and intelligent analysis evaluation of punching and grinding behaviors are realized by integrating a mobile laser ranging system, an ultrasonic nondestructive monitoring device, a digital image analysis technology, a weighing sensing device and the like. The feedback optimization engineering design standard is realized, the hydraulic concrete abrasion protection strategy is formulated, and the accurate prediction of the service life of the structure is realized.