32 results about "Morphological model" patented technology

An automated method for the generation of (i) human models comprehensive of shape and joint centers information and/or (ii) subject specific models from multiple video streams is provided. To achieve these objectives, a kinematic model is learnt space from a training data set. The training data set includes kinematic models associated with corresponding morphological models. A shape model is identified as well as one or more poses of the subject. The learnt kinematic model space and the identified shape model are combined to generate a full body model of the subject starting from as few as one-static pose. Further, to generate a full body model of an arbitrary human subject, the learnt kinematic model space and the identified shape model are combined using a parameter set. The invention is applicable for fully automatic markerless motion capture and generation of complete human models.

The invention relates to an image segmentation method and system. The method comprises the following steps: initially positioning medical images to obtain a positioning area; preprocessing the positioning area to obtain a target area, wherein the target area contains a nodular area and a background area, and the nodular area consists of a solid area and a surrounding area which surrounds the solid area; processing the target area in combination with a Gaussian mixture model to obtain a probability graph of the target area; processing the probability graph according to a morphological model to determine the solid area and the surrounding area of a nodule; and fusing the solid area and the surrounding area to obtain an image segmentation result. According to the method and system provided by the invention, different types of nodules can be accurately segmented, and the follow-up diagnostic analysis can be effectively improved.

The invention discloses a method for identifying signals. The method comprises the following steps: setting types of the signals to be identified, and constructing a template corresponding to each type of signals according to a morphological model of a power spectrum of each type of signals; extracting the power spectrum of the received signals, and calculating the morphological envelope of the power spectrum of the received signals, wherein the morphological envelope of the power spectrum is called envelope for short; respectively calculating the similarity between the envelope of the received signals and each template; and comparing each similarity, and identifying the received signals. By using the method, the problem of low signal identification rate under the condition of low signal-to-noise ratio in the prior art is solved.

The invention discloses a database system for quantitative analysis and shape simulation of deep-water channel configuration based on seismic data. The database system comprises a data input module, adata collation module, a data storage module, a screening module, a data output module, a graphics generation module and a comparison module, wherein the data input module is used for inputting three-dimensional seismic coordinates and geological background information data of a work area; the data collation module is used for dividing data into various data types related to deep-water channel configuration; the data storage module is used for storing various data types in a database with a hierarchical structure separately; the screening module is used for screening deep-water channels developed in similar sedimentary environments; the data output module is used for outputting screened characterization parameters or geometric description information; the graphics generation module is used for generating charts or morphological models based on various data stored in the database; and the comparison module is used for calculating the morphological similarity of the model by means of fuzzy model identification. The database relevant to deep-water channel configuration units is established by programming in order to collect and collate quantitative and qualitative data of different configuration units, and carry out quantitative analysis and morphological simulation on the water channel configuration.

The invention relates to an optimum selection method of a wild parent of an autumn shrimp of Marsupenaeus japonicus and a fundamental group morphological model obtaining method. Marsupenaeus japonicus summer wild individual shrimps having the body types meeting a morphological model equation of a Marsupenaeus japonicus autumn shrimp high-quality wild parent selection fundamental group are selected into an autumn shrimp high-quality wild parent fundamental group; after artificial ripening promotion and culture, female shrimps that have characteristics of bright and clean body surfaces, bright and transparent shells, bright body colors, complete appendages, healthy states with no disease and no damage, quick reaction, good gonad development, and long body lengths larger than or equal to 16cm are selected as Marsupenaeus japonicus autumn shrimp breeding parents. Therefore, the overwintering breeding survival rate of the Marsupenaeus japonicus autumn shrimps is effectively improved.

A method for create a morphological model of a rehabilitation brace based on a medical image technology comprises seven steps. There are three advantages in the method of establishing the morphological model of rehabilitation brace based on the medical imaging technology. First, it provides a reference scheme for the model design process of clinical lower limb rehabilitation brace. Secondly, three-dimensional image registration technology can accurately display the size and distribution of the morphological deviation between the heterogeneous, which can provide guidance for the clinical rehabilitation brace manufacturing process. Thirdly, it provides important data support for the future large database construction of intelligent and personalized rehabilitation brace matching.

The invention provides a digital rock physical model construction method and device. The method comprises steps that boundary conditions of a deposition area, the position and the particle size of deposited mineral particles in the deposition area and the initial position and the particle size of to-be-deposited mineral particles are acquired; according to the boundary conditions of the depositionarea, the position of the deposited mineral particles and the initial position of the to-be-deposited mineral particles, the termination position of the to-be-deposited mineral particles in the deposition area after at least one collision between the to-be-deposited mineral particles and the deposited mineral particles is determined; according to the particle size and the termination position ofthe to-be-deposited mineral particles and the position and the particle size of the deposited mineral particles, the position and the particle size of the updated deposited mineral particles are determined; a morphological model of the rock mineral particles in the deposition area is established based on the position and the particle size of the deposited mineral particles after update and the boundary conditions of the deposition area. The method is advantaged in that authenticity and validity of the digital rock physical model can be effectively improved, and instructive advices can be provided for petroleum exploration.

The invention provides a method and a device for establishing a wheat growth form model. The method is used for establishing a wheat growth form model in combination with a wheat growth model. The method comprises the steps of according to meteorological parameters in a wheat growth model, dry matter weight of the wheat organs and morphological characteristic relationship between the two and the wheat organs establishing a morphological characteristic parameter model, obtaining field test data including meteorological data, wheat organ characteristic data and wheat organ dry matter weight data, fitting to obtain numerical values of model parameters in the morphological characteristic parameter model according to the field test data and the morphological characteristic parameter model, anddetermining a wheat growth morphological model. According to the wheat growth morphological model and the parameterized geometric modeling method, the wheat growth model is constructed through biomass, the constructed model is higher in mechanology and universality, and the constructed geometric parameter model of wheat leaves, leaf sheaths and stems is better in reliability and practicability. The wheat growth morphological model and the parameterized geometric modeling method are used for constructing the wheat leaf, leaf sheath and stem geometric parameter model.

The invention relates to an image segmentation method, a pulmonary nodule detection method and a computer-aided detection system. The image segmentation method comprises the following steps: a lung CT image is acquired; initial positioning is carried out on the CT image to obtain one or more positioning areas; a filter is adopted to enhance the positioning areas to acquire a target area; the target area processed based on a clustering model is judged, if a first judgment is met, a real region for the nodule is acquired; the target area processed based on a morphological model is judged, if a second judgment is met, a surrounding region for the nodule is acquired; and the real region and the surrounding region are fused to acquire an image segmentation result. According to the method and the system provided by the invention, different types of nodules can be accurately segmented, and follow-up diagnostic analysis can be effectively improved.