1114results about How to "Improve extraction accuracy" patented technology

A document image processing device and method for extracting a title region and a mark attached by the user from a document image to use them as document tag information. A region with a region average character size larger then a predetermine extraction judging value is extracted as a title region by title region extracting means. As a result, title regions can be extracted from one document image. A mark that the user makes on an input image is extracted by mark extracting means, and characteristic value of the mark is found by calculating means. Document tag information to be imparted to the input image is selected from reference tag information according to the characteristic value and the attribute value of the reference tag information imparting means. Thus, document tag information is automatically imparted to a document image.

The invention provides a method for automatically extracting key phrases of patent documents. The method includes steps of 1, preprocessing texts; 2, recognizing topic types of patented inventions; 3, extracting alternative key phrases and filtering the same; 4, subjecting the alternative key phrases to weight calculation and selecting the key phrases.

The invention discloses a rice yield remote sensing estimation method based on MODIS data, which comprises: 1) acquiring the MODIS09 remote sensing data in the growth process of the rice in the region to be monitored, and calculating an vegetation index EVI and a water index LSWI; 2) extracting a rice pixel based on the relation between the water index LSW1 and the vegetation index EVI; 3) acquiring the vegetation index EVI corresponding to the rice in different stages; 4) calculating the average of the vegetation indexes EVIs of different set administrative regions in different stages to acquire the average EVI of the set administrative regions; 5) establishing a statistical model for the average EVI of the set administrative regions and the rice yield; and 6) estimating the rice yields of the set administrative regions using the vegetation index EVI in the growth period of rice in the year to be estimated, and calculating the rice yield of the region to be monitored. The temporal resolution, the spatial resolution and the estimation precision of the invention are relatively high, and the invention is applicable to monitoring rice yield in a large scale.

The invention discloses a system for extracting a picture abstract based on page partitioning, which comprises a page preprocessing module, a page sorting module, a page partitioning module, a subject block identifying module and an information extracting module. The invention also discloses a method for extracting the picture abstract based on the page partitioning, which specifically comprises the following steps that: 1, a page is crawled on the Internet; 2, the page preprocessing module preprocesses the page; 3, the page sorting module sorts the preprocessed page; 4, the page partitioning module partitions a semantic chunk; 5, the page partitioning module sends the subject type page to the subject block identifying module, and the subject block identifying module identifies the subject block and then sends the subject block to the information extracting module; and the page partitioning module sends the non-subject type page to the information extracting module; and 6, the information extracting module downloads the picture and is correlated with the page. The system and the method have the advantages of high extracting speed, high accuracy and good effect.

The invention discloses a method for extracting a target object from an interactive video, comprising the following steps of: obtaining the frame difference image of three adjacent frames of images by a frame difference method as a rough estimate of the target object; then combining with the coordinate position of the rectangular region of the front frame of image to determine the rectangular region containing the target object in the present frame of image; after that, structuring the energy function of each frame of image in an original video, and realizing the accurate extraction of the target object; adequately utilizing the coordinate position of the rectangular region of the front frame of image during the process of determining the rectangular region containing the target object inthe frame of image, thus, the target object region of the present frame can be accurately determined even if aiming at the conditions of target object suddenly turning to static or background shakingand the like; and finally establishing a fraction model for each frame of image after the target object region is determined, wherein the target object can be accurately extracted by a graph cut method, thereby greatly improving the extraction accuracy.

The invention provides a method for extracting a keyword from a text. The method comprises the following steps: dividing the text into words to obtain the words corresponding to the text; labeling word characteristics of the words; adding statistical information to the words; indexing the words; inputting label information, the statistical information and indexing information of the words into a deep learning extraction model so as to obtain importance weights of the words; according to the importance weights, selecting at least one corresponding word as the keyword of the text. In correspondence to the method, the invention further provides a device for extracting the keyword from the text.

The invention discloses a high-resolution SAR image individual building extraction method, and the method comprises the steps: firstly carrying out domain ontology modeling through combining the imaging features of a high-resolution SAR image individual building and the characteristics of a complex morphological structure, and constructing an individual building body semantic model in a high-resolution SAR image; secondly obtaining image regions with the good homogeneity and clear boundary through employing SAR image segmentation based on an object, wherein the image regions are the basic processing units extracted by building base units; combining with the related rule of the building base units in the body model, wherein the extracted image object characteristics comprise regional features, shape features, geometric features, texture features, and topological features; forming the object expression of body semantic description according to the body semantic rule and the object features, guiding the image objects to be automatically recognized as the building base units, and achieving the large-scale individual building recognition which takes the semantic knowledge as the center. The method can extract a large-scale individual building in the high-resolution SAR image accurately and quickly.

The invention discloses a method for extracting a tower target in an unmanned aerial vehicle routing inspection power transmission line image, and belongs to the technical field of pattern recognition and intelligent computation technologies. The method for extracting the tower target comprises the steps of converting an image acquired by aerial photographing from an RGB color space into an HSI (hue/saturation/luminance) space, carrying out binarization processing on an I component image of the HIS space after being subjected to median filtering so as to acquire a binary image of an electric power tower profile; carrying out angular point detection on the binary image of the electric power tower profile by adopting an improved Susan angular point detection method, and marking positions of all angular points in the binary image of the electric power tower profile; and detecting the mass center of an angular point sequence based on a moment invariant mass center detection algorithm, and marking the position of the electric power tower in an original image by taking the mass center as a center. Through applying the technical scheme disclosed by the invention, the electric power tower can be extracted accurately in real time, and a guarantee is provided for fault diagnosis of electric power components such as insulators, hardware fittings and the like on the tower.

The invention discloses a banknote image inclination correction and region extraction method, which is characterized by comprising the steps of carrying out fuzzy enhancement on an acquired banknote image, and enhancing a contrast ratio between a banknote and a banknote background color or pattern; segmenting the banknote image, wherein the banknote image is segmented into a banknote background region and a banknote region; scanning to acquire edge pixels of an image of the banknote region; acquiring image edges of the banknote region by adopting least square method straight line fitting if the banknote edges are uneven or zigzag-shaped, calculating fitting errors of the image edges of the banknote region, and calculating an inclination angle of the image of the banknote region according to the image edge, whose fitting error is minimum, of the banknote region; carrying out inclination correction on the image of the banknote region according to the inclination angle of the image of the banknote region, and rotating the inclined image of the banknote region into a horizontal image; and extraction the banknote region. According to the invention, fuzzy enhancement is carried out on the banknote image, the banknote edges are acquired by least square method straight line fitting, the accuracy in inclination correction for the banknote image is improved, and the extraction effect of the banknote region is good.

An evaluation pair extraction unit analyzes a document which is present on a network to extract an evaluation pair composed of an object and an evaluation expression, and registers it in an evaluation pair database. An evaluation pair analysis unit executes analysis such as category estimation, specific evaluation expression extraction, and comparative analysis by utilizing the evaluation pair of the database. The evaluation pair is data in which the object and the evaluation expression are combined; wherein the object is a unique object including a commercial product name, maker name, or the like which can be evaluated, and the evaluation expression of the evaluation pair is a phrase representing evaluation including like, hard to use, or the like. An evaluation pair extraction unit gives an evaluation pair extracted from a model document to a machine leaner to cause it to learn a rule which can serve as an evaluation pair, and, after the learning, correctly combines an object with an evaluation expression from an unknown document to extract an evaluation pair.