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364results about How to "Show well" patented technology

Method and device for fusing infrared and visible light images based on spectral wavelet transformation

The invention discloses a method and a device for fusing infrared and visible light images based on spectral wavelet transformation. The method comprises the steps of performing spectral wavelet decomposition on an infrared image and a visible light image according to four decomposition scales to obtain a low-frequency sub-band coefficient and high-frequency sub-band coefficients, fusing the obtained low-frequency sub-band coefficient and the high-frequency sub-band coefficients at different decomposition scales according to a fusion rule, and performing spectral wavelet transformation on the fused low-frequency sub-band coefficient and high-frequency sub-band coefficients to obtain a fused image. The invention also discloses a device for fusing infrared and visible light images based on spectral wavelet transformation. According to the method and the device for fusing infrared and visible light images based on spectral wavelet transformation, the images of irregular images can be expressed better; a weight of image fusion is obtained by virtue of bilateral filtering so that the definition, the contrast ratio, the amount of information and the like of the fused image can be effectively improved, and consequently, a better-fused image can be obtained.
Owner:SHANGHAI RONGJUN TECH

Method and equipment for building indexes and matching inquiry input information of user

The invention provides a method and equipment for building indexes and matching inquiry input information of a user. According to text information, structural information is determined and subject words are extracted; according to a subject corresponding to the subject words, label words corresponding to the subject are determined; and the indexes are built form the subject words and the label words. Moreover, the subject words and the label words are obtained through analysis of the inquiry input information input by the user, matching inquiry is carried out in the built indexes, and candidate text information is obtained; according to the semantic matching degree of the candidate text information and the inquiry input information, and target text information matched with the inquiry input information is determined. Compared with the prior art, on the basis of encyclopedia or other network resource knowledge, extracting of subjects and titles is carried out, effective description of resource knowledge content is formed, and accordingly semantic searching of the resource knowledge is more efficient, the searching requirements of the user for complicated descriptions which the user cannot accurately express by means of key words are met, and use experience of the user is improved.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD

Document semantic representation method based on thematic word class similarities and text classification method and device

The invention relates to a document semantic representation method based on thematic word class similarities and a text classification method and device. The document semantic representation method based on thematic word class similarities comprises the steps that (1) a word vector model is used to train a corpus, and word vectors are obtained; (2) clustering is performed on the word vectors in asemantic space; and (3) a WMD algorithm is used to calculate the distance between a to-be-represented document and each category obtained through clustering, and the obtained distance is used as semantic representation of the to-be-represented document. Then document classification is realized by calculating the similarities among semantic representation vectors of the document. Through the document semantic representation method, according to semantic information, word frequency and other information of texts, transfer cost between text words and clustering sets is calculated through the WMDmodel, each text is represented with one low-dimensional dense vector containing the semantic information, text information can be better represented, the classification task is high in accuracy, andthe method can be applied to natural language processing tasks such as information retrieval and text classification.
Owner:INST OF INFORMATION ENG CAS

Image classification method through fast and locality-constrained low-rank coding process

ActiveCN105184298AShow wellEffective Classification AccuracyCharacter and pattern recognitionDictionary learningLearning based
The invention discloses an image classification method through the fast and locality-constrained low-rank coding process. The method comprises a dictionary learning part, a training part and a testing part. During the dictionary learning part, a corresponding dictionary is obtained based on SIFT features extracted out of all data sets according to the k-means clustering method or other dictionary learning methods. During the training part, one part of images in each data set are selected as training images, and then the corresponding low-rank representation corresponding to each data set is learned based on the tags of the images. Through the SPM quantization process and the SVM classifier-based training process, category labels and a kernel function corresponding to a feature representation matrix are obtained. During the testing part, all remaining images in each data set are adopted as to-be-classified test images. For any unclassified image, the SIFT features of the image are extracted firstly, and then a low-rank coding matrix thereof in the dictionary is found out. Through the SPM quantization process, a final feature representation matrix is obtained. The final feature representation matrix is input into an SVM classifier obtained during the training part, so that the category of the image can be known.
Owner:CHONGQING UNIV

Electronic test paper importing method

The invention discloses an electronic test paper importing method which comprises the following steps: 1, acquiring a texture of electronic test paper, and carrying out redundancy processing; 2, distinguishing a test paper head and a test question part of the electronic test paper after the redundancy processing; 3, when identifying the test paper head, marking a first row of identified character strings as the title, marking other information as introduction information, and respectively storing the title and the introduction information into test paper classes of an object tree; 4, when identifying the test question part, dividing the texture of the test question part into a plurality of test questions by checking key fields of the texture of the test question part; 5, identifying the type, question stem and option information of each question by checking the key field of each question of the plurality of test questions, and respectively storing the type, question stem and option information of each question into the test question types of the object tree; 6, illustrating the preview information of the electronic test paper to accomplish automatic importing of the electronic test paper. By adopting the method, automatic importing of electronic test paper is achieved with convenience and rapidness.
Owner:GUANGZHOU SHIYUAN ELECTRONICS CO LTD

Shield general segment assembling point location determining method

The invention discloses a metro shield construction general segment assembling point location determining method. A shield tunneling machine is used for conducting shield tunneling construction on a construction tunnel along a tunnel central axis from back to front. After the shield tunneling construction is completed for one link, shield segment assembling construction is carried out. Before anylink of shield segment assembling construction is performed, first of all, segment assembling point locations of current shield segments are determined. Processes include the following steps that firstly, selectable assembling point locations are determined; secondly, selection influence indexes and weight coefficients of the selection influence indexes are determined, and the three selection influence indexes and the weight coefficients of the three selection influence indexes influencing segment assembling point location selection are determined separately; thirdly, the selectable assemblingpoint locations are selectively evaluated, wherein according to a weight coefficient method, the selection of all the selectable assembling point locations is evaluated separately, and the segment assembling point locations of the current shield segments are determined. The shield general segment assembling point location determining method is simple in step reasonable in design, convenient to achieve, good in using effect and capable of conveniently, fast and precisely determining the assembling point locations of the general segments.
Owner:CHINA RAILWAY FIRST GRP CO LTD +1

Small-particle yellow rare-earth fluorescent powder and preparation method and purpose of visualizing latent fingerprint thereof

The invention discloses small-particle yellow rare-earth fluorescent powder and a preparation method and a purpose of visualizing a latent fingerprint thereof. The general structure formula of the fluorescent powder is Y3-x-yCexGdyA15O12, wherein the x is not less than 0.1 and no larger than 0.4, y is no less than 0.1 and no larger than 0.4 and the particle size is between 1.5 to 3 Mum. The preparation method comprises the steps of weighing up raw materials according to the stoichiometric ratio of the structure formula, grinding and evenly mixing up the raw materials, sintering the raw materials with high-temperature solid-phase method to obtain powder and obtaining the small-particle yellow rare-earth fluorescent powder by adopting an ultrasonic dispersion technology after the powder goes through a mesh with 300 to 400 eyes. The small-particle yellow rare-earth fluorescent powder can be applied to visualizing the latent finger print after being amido-functionalized by gamma-Aminopropyl triethoxy silane and being mixed with reduced iron powder which goes through a mesh according to a certain ratio. The fluorescent powder provided by the invention has even and small particles, high fluorescent intensity, the excitation wave length between 460 to 480nm which is within the range of the light source commonly used in criminal investigation and the emission wave length between 520 to 570nm, is conducive to visualizing the latent finger print on the site and eliminating the disturbance of the object background and is important for establishing a high-efficient, non-toxic, lossless and convenient finger print visualizing method.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)

Rare earth long-persistence luminescent powder, preparation method and application thereof

The invention provides rare earth long-persistence luminescent powder, a preparation method and a method of applying the powder as a latent fingerprint revealing reagent. The structural general formula of the rare earth long-persistence luminescent powder is M1-x-yAl2O4:Eux<2+>, Dyy<3+ > (x=0.005, and y=0.011), wherein M is any one of Sr, Ca or Ba; and the grain diameter of the long-persistence luminescent powder is 1-3 microns. The rare earth long-persistence luminescent powder is prepared by a sol-gel method. The method of applying the powder as the latent fingerprint revealing reagent comprises the following steps: the rare earth long-persistence luminescent powder is mixed with reduced iron powder; then the compound is used to reveal the latent fingerprint on an object; white light or UV-light excitation is used to collect fingerprint images or self-luminous images. The preparation method of the rare earth long-persistence luminescent powder is simple; the excitation wavelength coverage of the prepared rare earth long-persistence luminescent powder is wider and the emission wavelength coverage is narrower, so that the powder is convenient to reveal the latent fingerprint in the field. The powder has the characteristics of higher fluorescent intensity and long persistence (self-luminous); and after the fingerprint is revealed, the object background interference can be effectively eliminated. The powder is non-toxic, lossless and environment-friendly.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)

Method for determining duct piece splicing point position of universal ring for subway shield construction

The invention discloses a method for determining a duct piece splicing point position of a universal ring for subway shield construction. The method comprises the following steps: performing shield tunneling construction on a constructed tunnel from back to front along the central axis of the tunnel by adopting a shield tunneling machine; after a ring of the shield tunneling construction is completed, performing shield duct piece splicing construction; before any ring of shield duct piece splicing construction, determining the duct piece splicing point position of shield duct pieces of the current ring first, wherein the method for determining the duct piece splicing point position comprises the following processes: firstly, determining selectable splicing point positions; secondly, determining selection influence indexes and weight coefficients thereof: respectively determining the three selection influence indexes which influence the selection of the duct piece splicing position point and the weight coefficients thereof; thirdly, performing selectivity evaluation on the selectable splicing position points: respectively evaluating the selectivity of each selectable splicing position point according to a weight coefficient method, and determining the duct piece splicing point position of the current shield duct piece. The method disclosed by the invention is simple in step, reasonable in design, convenient to implement and good in using effect, and can determine the splicing point position of the duct pieces of the universal ring easily, conveniently and accurately.
Owner:CHINA RAILWAY FIRST GRP CO LTD

Medical image retrieval method based on deep learning and Radon conversion

The invention discloses a medical image retrieval method based on deep learning and Radon conversion, and relates to the field of computer vision and image retrieval. In the crude retrieval stage, a BING target suggestion algorithm is adopted for detecting a region with a remarkable object, a partial mean value Pooling is introduced into deep convolution network architecture, region-based remarkable differentiation characteristics can be extracted, the characteristic dimensions are reduced, and then polymerization is performed to form global characteristic expression. In the characteristic vector quantization process, and a product quantization algorithm is used for solving the problem that characteristic vector similarity measurement calculation is high in complexity. In the fine retrieval stage, Radon conversion is used for performing integral projection on the image at multiple angles, more detailed information characteristics of the image can be obtained, and the Top 50 images obtained in the crude retrieval are subjected to Radon conversion to generate Radon bar codes, and more accurate retrieval is achieved through similarity measurement. The accuracy of the medical image retrieval is improved, and the medical image retrieval problems that the characteristic differentiation is not high and the characteristic dimension is high due to direct use of a convolution neural network are solved.
Owner:BEIJING UNIV OF TECH
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