46results about How to "High precision extraction" patented technology

The invention provides a shoreline extraction method of a remote sensing image based on an object-oriented method and a membership rule thereof. The method obtains an optimal segmentation scale by evaluating multi-scale segmentation and segments an image based on homogeneity principle. Then, the feature samples are constructed to obtain the features of the underlying surface. Secondly, attributesare assigned to the image object unit based on membership rules. Finally, the land information is divided into water and non-water binary information images, and the coastline information is obtainedby line reduction algorithm after grating loss conversion. The method of the invention realizes the high-precision extraction of the coastline, has good fitting degree in most areas, and can be betterapplied to the extraction of the coastline in a large range.

A continuous-region-extraction unit extracts a continuous-region having a voxel value corresponding to an air-region in bronchi from a three-dimensional-medical-image. A tree-structure-construction unit constructs a tree-structure corresponding to the continuous-region. A linear-structure-extraction unit extracts plural linear-structures representing fragments of small-bronchi by analyzing a local density structure in a neighborhood of each point in the three-dimensional-medical-image. A tree-structure-reconstruction unit reconstructs a graph-structure representing the whole bronchi by connecting a node constituting the graph-structure of large-bronchi and a node representing the linear-structures of small-bronchi. At this time, different cost functions are used for a segment connecting the node of the large-bronchi and the node representing the linear-structures of the small-bronchi and a segment connecting the nodes representing the linear-structures to each other. The cost function in the former segment is defined in such a manner that the segment is more likely to be connected as a change in voxel values is smaller.

The invention provides an image processing program and an image processing device, recorded words, prints, marks and the like are extracted in a high accuracy from document images comprising color bias or fuzzy color. The image processing method of the invention is composed of: a background removing and data generating part for removing background parts from the color images or bright images, generating, and generating the background removing data which represents the parts other than the background; a profile color converting and data generating part for, in the parts other than the background in the color images or bright images, generating the data which converts the profile color of the parts other than the background into pixel color at inner side of the profile of the parts other than the background.

The invention, which belongs to the technical field of electrical variable measurement, provides an adaptive-notch-filter-based harmonic wave extraction method. The method comprises: a, collecting a to-be-measured signal by a sampling device to obtain an input signal u(t); and b, carrying out harmonic wave extraction on the input signal u(t) so as to obtain each harmonic instantaneous value ./xh, a fundamental frequency omega 1, a direct current deviation A0, and each harmonic amplitude Ah. With the method, a problem of measurement error occurrence when direct current deviation occurs in the input and the amplitude is changed according to the original adaptive notch filter (ANF) method can be solved. Even though the amplitude and frequency of the input signal are changed suddenly and even the direct-current deviation is added, the fundamental frequency, the direct current deviation, and each harmonic instantaneous value and each harmonic amplitude can be extracted in real time with high precision based on the algorithm.

The invention relates to a double-field variable-focus three-dimensional measurement system. The system comprises a primary-secondary mirror imaging measuring system, a two-dimensional tracking rotating-mirror device and an adaptive control system. The primary-secondary mirror imaging measuring system is composed of a telephoto subsystem, a short-focus subsystem and a launching light source. The telephoto is composed of a main lens, a first spectroscope, a second spectroscope and a detector. The short-focus system is composed of the main lens, the first spectroscope, the second spectroscope and the detector. The two-dimensional tracking rotating-mirror device is composed of a reflector, a electric rotating motor, a regulating handle, an upper half shaft, a lower half shaft and a horizontal shaft. The adaptive control system is composed of a computer, an input and output (I/O) control circuit, an electromotor and a signal processing and controlling circuit. The system has the advantages of being tight in arrangement, high in measuring efficiency, convenient to measure and is suitable for the three-dimensional measuring of moving and static objects.

The invention relates to an object detecting method for detecting a specific kind of object such as a human head and a human face from an image expressed by two-dimensionally arrayed pixels, the object detecting method including an image group producing step of producing an image group including an original image of the object detecting target and at least one thinned-out image by thinning out pixels constituting the original image at a predetermined rate or by thinning out the pixels at the predetermined rate in a stepwise manner; and a stepwise detection step of detecting the specific kind of object from the original image by sequentially repeating plural extraction processes from an extraction process of applying a filter acting on a relatively small region to a relatively small image toward an extraction process of applying a filter acting on a relatively wide region to a relatively large image.

The invention provides an extraction device and an extraction method of an area of interest. The area of interest is extracted from an image at a high precision, and the interest degree of the area of interest is calculated. The extraction device of the area of interest comprises an extraction component, a retrieval component and an interest degree determining component, wherein the extraction component extracts one or a plurality of partial areas from an input image; the retrieval component retrieves an image similar to the partial area from an image database which stores a plurality of images in regard to the respective partial area extracted by the extraction component; and the interest degree determining component determines the interest degree of the respective partial area on the basis of the retrieval result of the retrieval component.

The invention discloses a signal detection method and circuit for a high precision optics voltage transformer and belongs to the technology field of an optics voltage transformer. The signal detection method and circuit for the high precision optics voltage transformer utilizes a band-pass filter of a narrow-band to replace the band-pass filter of a wide-band, utilizes a digital low pass filter and a control unit to replace a primary signal processing unit; and utilizes a robust control algorithm to obtain index stability during the signals detection process to improve the optics voltage transformer dynamic property which varies with the luminous intensity. The signal detection method and circuit for the high precision optics voltage transformer restrains white noises very well to obtain a closed loop error signal of high precision. By utilizing the detection method and circuit, the optics voltage transformer obtains +/- 0.2% precision, 24.5 kilohertz wide-band and 25.2 microseconds speediness step response which satisfy the application of electricity measuring and electricity protection fields.

The invention relates to a restoration effect prediction modeling method of an organic polluted underground water in-situ chemical oxidation process. The method specifically comprises the following steps: step 1, performing detailed investigation on the basis of a polluted site; 2, determining an in-situ chemical oxidation process of the polluted site, and determining a related parameter range; 3, using a Plackett-Burman test for determining main influence factors of the effect of the repairing technology; 4, analyzing the response of different independent parameters by using Design Expert software to obtain test combinations under different test conditions; and 5, carrying out a laboratory small-scale test based on the simulated sample, and the like. The method is simpler and more convenient, the requirement for mathematical knowledge of operators is low, data is used as a support, the statistics principle is used as a support, and the problems of model uncertainty and mathematical calculation difficulty caused by the underground complex environment are emphatically solved.

Character string heights and line spacing values are acquired as character string information on a document image, and fluctuations in the character string height and fluctuations in the line spacing value are calculated as variances. If the calculated variance is equal to or lower than a threshold value, the character string information is determined as being appropriate for use in extracting line-spacing watermarks, and line-spacing watermark information is extracted from the character string information.

The invention relates to an unsupervised change detection device based on a full polarization sequential SAR image; the device comprises the following units: an image preprocessing unit used for registering and filtering a pair of full polarization sequential SAR images of different time phases in a same geological scope; a preliminary difference image forming unit used for carrying out hypothesis examination for corresponding positions in the pair of full polarization sequential SAR images, thus forming a preliminary difference image; an optimal threshold select unit using a KI algorithm to select the optimal threshold of the formed preliminary difference image; a detection result forming unit using the selected optimal threshold to carry out binary segmentation for the preliminary difference image, endowing values representing no changes for pixels smaller than the threshold, endowing values representing changes for pixels bigger than the threshold, and finally forming the detection result. The method and device can fully utilize the SAR image full polarization information, thus automatically extracting change information of SAR images of different time phases with high precision.

The invention provides a signal processing device, including: an extraction section that extracts, from an input digital signal, a decoding target signal at an extraction timing that has been determined as a timing for extracting the decoding target signal; a decoding section that decodes the decoding target signal by estimating, by a maximum likelihood decoding, a candidate for a decoding result of the decoding target signal extracted by the extraction section and detecting a maximum likelihood decoding result; and an adjustment section that adjusts the extraction timing using a likelihood of the candidate for the decoding result estimated by the decoding section.

Provided is a pallet sensing device or the like which can accurately extract a straight line corresponding to the front surface of a pallet without moving a two-dimensional distance measuring device in the vertical direction, and can sense the position and posture of the pallet in a short time. The pallet sensing device is provided with: a point group acquisition unit configured so as to acquire point group data in which point groups measured by the two-dimensional distance measurement device are represented on a depth map; a straight line detection unit configured to detect a straight line corresponding to the front surface of the pallet on the basis of a point group in a region deduced to include the front surface of the pallet in the point group data; a line segment detection unit configured to detect a line segment indicating a front surface of the pallet on the basis of the straight line; and a position and posture acquisition unit configured to acquire the position and posture of the pallet on the basis of the line segment. The straight line detection unit acquires one or more straight line candidates as candidates for straight lines corresponding to the front of the pallet, and assigns, to each of the one or more straight line candidates, a score having a lower priority than a constant of other point groups when selected to a point group on the front side that is a predetermined distance or more from the straight line candidate. A straight line corresponding to the front of the pallet is selected from among the one or more straight line candidates on the basis of a score accumulation value obtained by accumulating scores for the point groups in the region deduced to include the front of the pallet.