44results about How to "Clear border" patented technology

The invention discloses a frame correlation processing method and a system in spatial compound imaging. The system comprises a same-angle frame correlation processor and a frame correlation coefficient calculator, wherein the same-angle frame correlation processor is used for receiving component images output by a B signal preprocessor, conducting frame correlation processing to the component images with the same deflection angle, and outputting results obtained after frame correlation processing to a spatial compound image processor; and the frame correlation coefficient calculator is used for calculating frame correlation coefficients during frame correlation processing according to the relevant parameters of a spatial compound imaging controller, and outputting results to the same-angle frame correlation processor. Aiming at the defects of a simple image processing method of using spatial compounding in combination with frame correlation, the frame correlation processing is put ahead of the spatial compounding, the same-angle frame correlation processing is adopted, the same-extent de-noising processing is conducted to different-angle information in advance before the spatial compounding and then the different-angle information is superimposed together, thereby avoiding image information disorder and not causing obvious boundaries in different areas of the images.

The invention provides a detection system for the elevator door shielding behavior based on video analysis. The detection system comprises a video collection unit, a door state analyzing unit, an alarm logistic unit and a multimedia prompting unit. The invention further provides a detection method for the elevator door shielding behavior based on video analysis, and the above system is adopted inthe detection method. The detection method includes the steps that a marker is stuck; information of the marker position on an elevator door is collected; the state of the elevator door is analyzed and judged; whether the door shielding behavior exists or not is judged; and a reminding broadcast is played. By means of the detection system and the detection method, an area collection manner is adopted, in addition, the set collecting area is calibrated in a tag manner so that the collecting boundary can be more obvious and is more accurate compared with the background, interference of the edgeof the elevator door and background shielding objects is avoided, and the detection accuracy is improved.

The invention discloses an iterative depth map structure restoration method for SSIM structural similarity based on RGB-D. The method includes: firstly, detecting the edge of an input depth map; and expanding the edge, marking the expanded area as a potential structure distortion area; judging whether each pixel point in the potential structure distortion area is distorted or not; generating a structural distortion measurement index; and enabling distortion pixel points to construct a recovery weight by adopting a product of a color image Gaussian weight and a structural distortion measurementindex, carrying out guide recovery through weighted median filtering, then carrying out guide filtering on a distortion region, continuously carrying out iteration on a finished result image according to the steps until a set iteration termination condition is met, and outputting a depth image to finish calculation. According to the method, iterative detection and recovery are carried out on thestructure distortion area of the depth map, so that relatively accurate structure information is obtained, denoising and edge preserving are carried out on the undistorted area of the structure, and finally, the depth map with a clear structure and a smooth depth value can be obtained.

The invention provides irreversible thermo-sensitive type aquogel and a preparation method thereof and belongs to the technical field of aquogel. The irreversible thermo-sensitive type aquogel is nontoxic, wide in application range, long in storage time (over one year), stable in heat discoloration region, clear in boundary, strong in repeatability, simple in preparation process and suitable for large-scale production; and the denaturation temperature can be up to about 60-65 DEG C. The irreversible thermo-sensitive type aquogel provided by the invention contains the following components in percentage by weight: 2-10% of polyvinyl alcohol, 5-40% of temperature sensitive indicator, 10-67.5% of polyhydric alcohol antifreeze agent and 25-60% of water. The preparation method of the irreversible thermo-sensitive type aquogel provided by the invention comprises the steps of freezing and unfreezing to prepare the irreversible thermo-sensitive type aquogel. The irreversible thermo-sensitive type aquogel can be applied to the medical fields including thermal therapy and thermal ablation medical fields such as a focused ultrasound therapy technology and a neoplasms/radiotherapy.

The invention discloses a hip joint segmentation model building method using small sample image training and application thereof, and belongs to the medical image processing field. The method comprises the following steps: projecting small sample CT data marked with a hip joint area from different angles through a digital reconstruction radiographic image method to obtain a lot of analog images with marks; forming a pre-training data set by the analog image and the hip joint area marked in the analog image; establishing a segmentation model for performing image segmentation on the input image to extract a hip joint area, and pre-training the segmentation model by using the pre-training data set; and constructing a training data set by using the small sample Xray image marked with the hip joint area, training the pre-trained segmentation model to finely adjust the segmentation model, and taking the segmentation model as the established hip joint segmentation model after the training is finished. The technical problem that an existing hip joint segmentation method is poor in segmentation result due to the fact that the existing hip joint segmentation method depends on a large amount of annotation data can be solved.

The invention discloses a high-resolution SAR (Synthetic Aperture Radar) image classification method based on intensity ratio and spatial structure feature extraction. The method comprises the following steps: performing mirror reflection on a classified SAR image around a boundary to perform boundary expansion; Carrying out block extraction on the extended SAR image; Calculating spatial structurecharacteristics of the block; Performing boundary expansion on the original SAR image again to extract blocks; Calculating an intensity ratio characteristic coefficient of the block; Carrying out vector superposition on the intensity ratio characteristics and the spatial structure information characteristics; Selecting a part of sample points and putting the sample points into an SVM classifier to train a model; And putting the whole image into the model to obtain a final prediction label image as a final classification result image. The method has the advantages that classification is finer,boundaries are more obvious, and region extraction features are easier to be classified, and can be used for SAR image classification and target recognition.

The invention relates to an image processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-restored image and a mask image corresponding to the to-be-restored image, and the to-be-restored image comprises a background region and a to-be-restored target region; inputting the to-be-restored image and the mask image into a pre-trained first image restoration network to enable the first image restoration network to restore the target area to obtain a first transition image; according to the relative position relation, combiningthe background area of the image to be restored with the transition target area of the first transition image to obtain a second transition image; and inputting the second transition image into a pre-trained second image restoration network, so that the second image restoration network carries out restoration processing on the transition target area to obtain a restored image. According to the method, the restoration result of the missing area in the image is relatively stable, and the restoration area does not have an obvious boundary even under the condition that the background area of the image is complex, so that a relatively good restoration effect is achieved.

The invention discloses a manufacture technique for a plugging sheet of an attaching plug, which comprises the steps as follows: long copper strips are formed; riveting trough positions are punched and flattened; left and right grooving cards and plugging sheet locating holes are punched and formed; anti-skid troughs are punched on the middle positions of the riveting troughs; meanwhile, inclinations are punched on the left and right grooving cards; then the left and right grooving cards are bent; meanwhile, forming treatment is implemented on the top ends of the long copper strips; then single plugging sheet is cut off; and finally the upper sides and the lower sides of the top end of the long copper strips are obliquely punched. In the technical method, metal materials do not need to be cut off, the utilization rate on the base materials for forming is high, and material wastes are reduced; meanwhile, the manufacture technique has more reasonable technique arrangement, and improves the production efficiency; moreover, the boundary effects of the products manufactured through the manufacture technique are ideal compared with the boundary effects of the products obtained through a commonly-used manufacture technique which manufactures a plurality of plugging sheets of an attaching plug in parallel.

The invention discloses a light-cured resin and application thereof. The light-cured resin is prepared from the following components in percentage by mass: 4.6 to 10.8 percent of ethyl methacrylate, 4.6 to 9.2 percent of ethyl acetate, 80 to 90 percent of polyurethane acrylate, and 0.1 to 0.6 percent of benzophenone-1. The light-cured resin provided by the invention is cheap in raw materials, convenient to acquire, easy to store, poisonless and harmless to a human body, good in permeability when dripping on fiber, rapid and controllable in film formation, firm, ductile, easy to cut into slices, high in success rate, clear and distinguishable in sliced fiber cross section, less in fiber extrusion, high in fiber dispersion degree, clear in boundary and middle cavity, obvious in characteristics, and easy to distinguish.

The invention relates to a video analyzing system, in particular a coal mining machine video analyzing and controlling system. The coal mining machine video analyzing and controlling system comprisesa scraper conveyer, a coal mining machine, and a spill-plate. The system is characterized in that a track trolley is installed on the spill-plate; a coal recognition device is installed on the track trolley, and the track trolley is connected to the coal mining machine through a connection rod. The images collected by a camera are processed by image analyzing software to determine the boundary between a coal bed and rocks, the vertical movement of the coal mining roller of the coal mining machine is controlled to avoid the rocks in the digging working surface automatically; the coal mining machine can carry out digging automatically without human supervision; the safety of coal mines is improved, and the labor strength is reduced.

The invention discloses a pedestrian target false detection removal preprocessing method, which belongs to the field of pedestrian detection preprocessing and is used for eliminating common false detection phenomena of pedestrian detection results in an image. According to the technical key points, the method comprises the steps of S1, performing normalized width processing; S2, performing histogram specification equalization processing; and S3, performing sharpening processing. The method has the effects that redundant pedestrian detection boxes appearing in a pedestrian detection process areremoved; the effectiveness of subsequent pedestrian tracking algorithm application is improved; and additional judgment and calculation consumption of a pedestrian detection system due to false detection of targets is avoided.

The invention relates to a brain MRI image segmentation method based on a self-organizing mapping network and MRI equipment. The method comprises the following steps: step (1), performing feature extraction on an input fused brain MRI image; (2), designing a multi-layer neural network according to the characteristics of the brain tumor image, and training the neural network by selecting a brain MRI image which is calibrated in advance; (3), sending the whole image to the trained network through each pixel, and for the feature vector of each pixel, generating a winning neuron on the first layeraccording to the minimum distance standard so as to specify a corresponding object by using the pixel; and step (4), during a merging process, in order to suppress wrong classification, requiring a merging clustering process to connect neurons belonging to normal classification after segmentation so as to segment a tumor region effectively and obtain a target image. The method can effectively jump out of local optimum, and is high in brain tumor MRI image segmentation precision and smooth in edge.

An apparatus serves for the continuous surface cleaning of rotationally movable casting rolls (2, 3) of a strip-casting machine. A plurality of laser beam units (25) are arranged on the circumference of the respective casting roll (2, 3), which laser beam units (25) are arranged next to one another, are distributed over the casting-roll length and by means of which the casting-roll surface (2a, 3a) can be acted upon with one or more laser beams over the entire casting-roll length. Additional cleaning units (30, 31, 35, 45) for the mechanical cleaning of the casting-roll surface are advantageously connected ahead of and/or behind the laser beam units (25). This makes gap-free and regular surface cleaning of the casting rolls possible.