32 results about "Fuzzy object" patented technology

A method, apparatus and computer program product for machine-based segmentation of the cardiac chambers in a four-dimensional magnetic resonance image data that contains at least short-axis cine sequences. The segmenting is based on temporal variations in the data set and on features extracted from the image data. In particular, the method and apparatus process the image data to automatically segment an endocard based on fuzzy object extraction and to automatically segment an epicard through finding a radial minimum cost with dynamic sign definition and tissue classification. In addition, image data is preferably preprocessed to eliminate high local image variances and inhomogeneity. The image data is also preferably processed to identify positions of a base slice, an apex slice, an end-diastole, an end-systole and an LVRV connection.

Method and apparatus for creating an electronic database of disambiguated entity mentions and relations from a corpus of electronic documents. The invention automatically extracts from the corpus of electronic documents mentions about entities (e.g., references to people, organizations or places), parses the entity mentions into “mention objects,” and executes a series of grouping, comparison and hierarchical fuzzy object clustering algorithms to cluster together in an electronic database all of the mention objects referring to the same entity and all of the mention objects (e.g. “people”) associated with each other by a relationship (e.g., “co-authors” or “family members”). The resulting electronic database of disambiguated entity mentions and relations, which may comprise, for example, an XML document, a relational database or hierarchical database, is structured to permit useful recordation, access, review and display of all of the mentions and relations associated with a particular entity or collection of entities.

A system and method for recovering three-dimensional (3D) particle systems from two-dimensional (2D) images are provided. The system and method of the present invention provide for identifying a fuzzy object in a two-dimensional (2D) image; selecting a particle system from a plurality of predetermined particle systems, the selected particle system relating to a predefined fuzzy object; generating at least one particle of the selected particle system; simulating the at least one particle to update states of the at least one particle; rendering the selected particle system; comparing the rendered particle system to the identified fuzzy object in the 2D image; and storing the selected particle system if the comparison result is within an acceptable threshold, wherein the stored particle system represents the recovered geometry of the fuzzy object.

The invention discloses a liver-clearing and vision-improving boxthorn leaf traditional Chinese medicine tea. The traditional Chinese medicine tea comprises the following raw material medicines in parts by weight: 10-30 parts of boxthorn leaf, 10-20 parts of polygonum cuspidatum, 10-20 parts of Chinese angelica, 10-20 parts of jasmine, 10-20 parts of radix ophiopogonis, 10-20 parts of codonopsis pilosula, 10-20 parts of schisandra chinensis, 10-20 parts of radix polygonati officinalis, 10-20 parts of cuscuta chinensis, 10-20 parts of wolfberry fruit, 10-20 parts of prepared rhizome of rehmannia, 10-20 parts of prepared fleece flower root, 10-20 parts of eucommia ulmoides, 10-20 parts of glossy privet fruit, 10-20 parts of rhizoma polygonati, 10-20 parts of white paeony root and 10-20 parts of semen cassiae. The boxthorn leaf is cool in nature, bitter in taste and non-toxic and has the effects of tonifying deficiency, replenishing vital essence, clearing away heat, quenching thirst, dispelling the wind, improving the vision, treating hot eyes and pain, treating heat toxin sore and the like, and by adopting a modern process, the boxthorn leaf tea making is systematically researched, the prepared boxthorn leaf tea is good in mouthfeel and high in aroma, does not have green odor and can be accepted by consumers. For the boxthorn leaf tea, traditional Chinese medicines with the effects of nourishing liver and kidney and mild in nature and flavor are added, and the tea has obvious effects on dry and unsmooth eyes and unclear and fuzzy object observation caused by liver-kidney deficiency and excessive eyes.

The invention discloses a moving object observation and fuzzy restoration method which comprises the following steps: a plurality of cameras of the same model that have a continuous shooting function are used for capturing photographs of moving objects in the same view field in a fixed manner, observation images are obtained; the obtained observation images are respectively subjected to moving fuzzy function estimation and segmentation extraction operation, and corresponding moving fuzzy object images are obtained; the obtained moving fuzzy object images and moving fuzzy functions are used, and clear object images can be obtained via a space domain combination restoration algorithm. The moving object observation and fuzzy restoration method has low requirements for hardware equipment, and only a plurality of digital cameras, popular in markets, that have a continuous capture function are required for solving a problem of high speed moving object observation and fuzzy restoration.

The invention discloses a moving target deblurring method based on a distributed camera array, which is implemented according to the following steps: Step 1, building a distributed camera array system; Step 2, associating objects in the array, and then moving the associated image sequence Target 3D field flow estimation; Step 3. Sampling the 3D field flow sequence respectively, and using the triangular transformation method to estimate the motion point of the fuzzy target according to the sampling points; Step 4. Estimating the motion point of the fuzzy target by linear interpolation method according to the motion point Fuzzy kernel function; step 5, segment the fuzzy moving target to obtain a target sequence, and use the fuzzy kernel function obtained in step 4 to deconvolute to obtain a deblurred image of the target. Multi-frame rate and multi-exposure strategies are adopted between different camera arrays to overcome the contradiction between the exposure time of a single camera and high-resolution image acquisition; the configuration of the camera array is used to improve the detection range of the field of view and achieve the detection of moving targets under the requirement of a large detection field of view. Vague.

The present invention relates to the technical field of medical care informatics, that is, the field of information technology specially used for handling or processing medical or health data. The present invention discloses a disease diagnosis and prediction system based on attribute derived fuzzy object language concept lattice. The system includes: data The acquisition module is used to obtain the symptom language expression of patients with known disease diagnosis results; through the background of the fuzzy object language form, the attribute is determined to derive the fuzzy object language concept set; the rule extraction module is used to derive the fuzzy object language concept set from the attribute, Extract attributes to derive the three-branch decision-making rules of fuzzy object language, and obtain the set of three-branch decision-making rules of attribute-derived fuzzy object language; the disease diagnosis module is used to obtain the symptom language expression of the patient to be predicted, and derive the three-branch decision-making rule set of fuzzy object language according to the attributes, Determine the disease diagnosis result of the patient to be predicted. The invention can deal with language information problem in decision analysis and provide intelligent medical diagnosis result.

The invention discloses a distortion target identification and judgment method based on discrete orthogonal moments, which comprises the following steps of inputting a distortion image to be detected,and identifying and judging a distortion target according to matrix transformation of the discrete orthogonal moments of the distortion image; and giving an optimal order reference value participating in calculation according to the image parameters. Experimental results show that the method has stronger robustness, and has advantages in the aspects of fuzzy object judgment and identification ofsimilar and complex objects under a distortion condition; and the given optimal order reference values suitable for the images of different sizes give consideration to the requirements of reducing thecalculation amount and improving the robustness, and have a very good matching effect with newly proposed parameters.

The invention relates to a wind power generation vane-change fuzzy control method, which solves the problems of low control quality and low steady-state performance of a wind power generation unit system and belongs to the technical field of application of wind power generation. The technical scheme comprises the following steps of: adjusting the magnitude of a modifying factor according to a membership function of a fuzzy object to achieve an adjustment control rule; introducing a fragmentation biquadratic Lagrange interpolation algorithm of a binary function into a self-setting fuzzy controller to convert discrete control variables into continuous control variables, so that the output power of a wind power generation unit can be relatively accurately and quickly controlled; therefore, the adjusting dead zone and the offset of the controller are eliminated, and the control quality of the system is ensured. In the wind power generation unit, due to the application of a control algorithm in which the self-setting fuzzy controller is combined with the Lagrange interpolation algorithm, wind power can be more accurately controlled, so that the wind power generation unit can better meet the requirements of power grids; and intelligent control over the wind power generation unit has become one of mainstream development directions of the current wind power generation technologies.