37 results about "Contour set" patented technology

The invention relates to a method and a device for screen location in visual inspection. The method comprises the steps of obtaining a complete machine RGB image of a to-be-inspected apparatus; converting the complete machine RGB image into an HSV image; extracting the V domain image information in the HSV image and performing binarization processing on the V domain image information to obtain a corresponding binarization image; processing the obtained binarization image by using a preset contour extracting function to obtain a contour set; acquiring the contour with the maximum area in the contour set as the screen contour of the to-be-inspected apparatus and locating the screen of the to-be-inspected apparatus according to the screen contour. The method and the device can realize online inspection, requires no line stop or departure from a line, thereby improving the inspection efficiency of visual inspection of apparatuses.

An emergency area confinement and safety system includes a central control unit for integrating all the other units in the system. A detector unit for detecting accidents occurred in a building unit. An accident determination unit receives signals from the detectors and determining whether an accident has occurred. The accident determination unit has an accident determination logic unit for determining an accident being occurred; a contour setting unit for defining a contour as an unsafe area. The contour setting unit receives the signals from the accident determination unit to know which section has accident and then determines an unsafe area according to the detecting cells; and a guiding unit for guiding people to run away from the accident area to a safety area; and a display unit in the central control unit for displaying the states.

The invention provides an object surface sampling point set boundary characteristic identification method based on a local sample projective contour shape, and belongs to the field of digital design and manufacturing. The method is characterized in that each sample point of a sampling point set is subjected to normal estimation, all sample points are added with a label at the same time; through the labels, a sample point can be judged whether the sample point belongs to a boundary sample point state or a non-boundary sample point state, the labels of all sample points are initially set to be in a boundary sample point state; for each sample point of the sampling point set, if the labels of the sample points are in a boundary sample state, a local sample projective contour is established for the sample points along the normal direction of the sample points; then the projective points of the sample points along the normal direction are verified to judge whether the projective points fall into the contour set composed of recessed points and protruded points of local sample projection, if the projective points of the sample points do not fall into the set, the labels of the sample points are changed into a non-boundary sample point state, and finally the sub-set composed of sample points labeled as a boundary sample point state is output. The provided method can rapidly recognize the boundary sample points of an object surface sampling point set.

The invention provides an image-based gastrointestinal three-dimensional reconstruction and visualization method, which comprises the following steps of: processing an image acquired by a camera on anactive capsule machine to obtain a gastrointestinal intermittent wrinkle contour set; fitting and connecting the intermittent edges belonging to the same fold in the contour set to generate a complete two-dimensional contour, and constructing a reverse mapping model by utilizing camera internal parameters to convert two-dimensional contour information into a three-dimensional space, so as to obtain a three-dimensional local model of the gastrointestinal structure; and splicing the local models to realize global visualization of the gastrointestinal structure. The method can quickly and accurately reconstruct the gastrointestinal structure.

The invention discloses a contour line-based three-dimensional entity generation method and device. The method comprises the following steps: acquiring a contour line set for generating a target three-dimensional entity, processing the contour line set to obtain sample points of each contour line, combining the sample points according to a combination mode to obtain a sample point combination, determining a target sample point combination based on screening parameters of each sample point combination, performing enhanced point insertion on the target sample point combination to obtain enhanced points corresponding to the target sample points, and finally generating a three-dimensional entity image according to all the sample points and all the enhanced points. According to the method, sample point combinations which will generate sharp edges and corners in the process of generating the three-dimensional entity by the contour lines can be accurately found out, and enhancement points are inserted for the sample point combinations so as to avoid the sharp edges and corners.

The invention discloses a visual identification method for a water pump impeller ring. The method comprises the following steps: S1, collecting an original image of a water pump impeller ring horizontal plane by using an industrial camera; S2, converting the collected original image into a grayscale image; S3, performing binarization and morphological processing on the grayscale image to obtain avisual image; S4, performing contour set retrieval on the visual image, and traversing all contours; S5, creating a reference image with the same size as the original image and a gray value of 0, drawing a bounding circle of each contour in the step S4 on the reference image, and drawing each contour to obtain accurate contour information; S6, calculating the angle relation of the circle center ofeach contour surrounding circle obtained by the reference image based on the circle center of the contour surrounding circle obtained by the original image, and converting the pixel coordinates of the circle center into a robot coordinate system. By means of the method, the water pump impeller ring can be accurately and rapidly recognized, human factors are avoided, efficiency is improved, and subsequent grabbing of a robot is facilitated.

The invention provides a stroke separation method based on a Chinese character contour, which comprises the following steps: extracting the contour of a Chinese character, determining an inner contourand an outer contour, and obtaining a combined contour set; extracting contour candidate feature points of stroke separation; aiming at any candidate feature point; calculating the distance between any two feature points in the feature point set, the input vector and the output vector of each feature point, and initializing a feature point pair list; calculating a cosine included angle corresponding to the two feature points if the distance between the first feature point and the second feature point is not greater than a threshold value between any two different feature points; if a preset condition is met, adding the first feature point and the second feature point into a feature point pair set; and performing stroke separation based on the contour set, the feature point set and the feature point pair set. By applying the embodiment of the invention, through feature point position detection and angle detection, the accuracy of effective feature point screening is improved, and the accuracy of independent stroke extraction is improved.

The invention discloses an automobile hub identifying and matching method comprising the following steps: creating a contour pixel data database; calculating the average height M0 of the contour pixeldata in the database; calculating the square root mean square error MSE of the arithmetic mean sum of the difference squares of the Y coordinates of the pixels of the contour and the average height M0; and obtaining contour data of a specific position of a to-be-classified hub on an assembly line, matching the contour data with the contour data of hubs in the contour pixel data database one by one, and outputting the hub model with the minimum matching error as a final result. The automobile hub identifying and matching method is a non-contact real-time online measuring method based on a linear laser sensor. A contour is pre-matched according to the statistical features of the contour, and a hub is finally matched in a pre-matched contour set. There is no need to match all contours. The matching efficiency is improved. The method can replace manual measurement, and can be used to quickly and accurately identify different hub models.

The invention discloses an IHC digital preview image identification and organization foreground segmentation method and system, and the method comprises the steps: extracting a binary mask image M1 comprising an organization part and an impurity part for an inputted IHC digital preview image; dividing all connected domains in the binary mask map M1 into a large-area connected domain contour set qband a small-area connected domain contour set qs; and for each connected domain contour in the large-area connected domain contour set qb, corresponding the connected domain contour to a corresponding region in an original IHC digital preview, extracting features of the corresponding region, classifying the features through a machine learning model to remove impurity connected domain contours, and leaving connected domain contours of tissues. According to the method, the tissue foreground can be segmented for the IHC digital preview which is slightly dyed and has the foreground tissue color almost close to the slide background, and the method has the advantages of being high in recognition accuracy and good in recognition effect.

The invention discloses a method and a relevant device to eliminate image contour noise points, which are beneficial to solve the problem in the prior art that a currently available financial device is often interfered by noises when it processes images. The method comprises: acquiring the contour points of an image; obtaining a contour point set A; removing some discrete value from the set A; obtaining a contour set B; and using the contour points in set B for Hoff straight line fitting to determine the image contour.

The invention discloses a Chinese character geometric structure feature migration method based on a composite contour skeleton, and the method comprises the steps: obtaining the geometric structure relation of a corresponding composite contour skeleton feature point set between fonts, constructing the mapping relation between composite contour sets of the same target word of different font files, and constructing the mapping relation between a single composite contour set and the skeleton feature points; forming the composite contour of the variant glyph of the variant glyph font to be generated, writting the corresponding coding position of the font file after format conversion. The problem that a user can only utilize the existing variant font library when using the text information hiding system is solved.

The invention provides a filling path generation method based on a skeleton line, which comprises the following steps: step 1, biasing an input two-dimensional contour set according to a set path spacing to obtain a biased contour; step 2, generating a connected region set by using the offset contour set; step 3, obtaining a skeleton line of each connected region; step 4, segmenting a single connected region according to the skeleton line to obtain a plurality of sub-regions; step 5, generating sub-filling paths in each sub-region according to the set path spacing; and step 6, connecting the sub-filling paths to obtain a filling path of the whole connected region. According to the method, the problem that more empty paths exist in a conventional common path filling method can be avoided, and a solution is provided for path planning with special process requirements. The method is suitable for areas of various shapes, has the advantages of being simple in algorithm and good in universality, and has a certain promotion effect on development and popularization of the filling path in multiple fields.

The invention discloses an object contour extraction method. The method comprises the steps of acquiring the absolute temperature of an object to form a thermodynamic diagram; linearly constraining the thermodynamic diagram temperature to a first preset real number range to form a thermodynamic diagram real number matrix; converting the thermodynamic real number graph matrix into a grey-scale graph matrix; converting the grey-scale map matrix into a binarized grey-scale map matrix in a second preset real number range; filtering noise points of the binarized grey-scale map matrix; converting the binary grayscale image matrix into a binary image in a first preset real number range; extracting all contours in the binary image, and simultaneously generating a contour hierarchy table which is used for representing an inclusion relation between the image contours; eliminating all inner contours through the contour hierarchy table to acquire a frame of measurement peripheral contour set. Theinvention further discloses an object contour extraction system, an object contour prediction method and an object contour prediction system. According to the invention, all contours in the blurred thermal image can be accurately extracted or predicted, and the contour information acquisition precision in the blurred thermal image is improved.

The invention provides a pipeline three-dimensional model construction method and system based on standard attitude angle correction, and the method comprises the steps of setting a standard collection attitude angle of a pipeline robot, and recording the standard collection attitude angle as a standard attitude angle; setting the pipeline robot carrying the posture determining equipment and the obtaining equipment in the pipeline; enabling the pipeline robot to obtain a collection attitude angle of the pipeline robot through attitude determination equipment at a set position; comparing the acquired attitude angle of the pipeline robot with a standard attitude angle, and acquiring the cross section contour of the pipeline at the current position after directly acquiring or adjusting the acquired angle according to a comparison result; and establishing a pipeline three-dimensional model based on parallel contours through the pipeline cross section contour set of each position. According to the invention, the pipeline three-dimensional model with a unified acquisition view angle can be established, the influence of distortion and errors generated in the acquisition process on the accuracy of the pipeline three-dimensional model is avoided, and a good model basis is provided for pipeline internal detection.