41results about How to "Improve preprocessing speed" patented technology

The invention discloses an image enhancement and binaryzation method for a photoprint file. The image enhancement and binaryzation method for the photoprint file comprises the following steps of step one, graying input color images and obtaining graying images; step two, obtaining edge gradient of a regional image block which is corresponding to every pixel point through Sobel horizontal and vertical operator; step three, performing weight fusion improvement and LC regional enhancement and obtaining a weight fusion regional contrast value for every pixel point; step four, enabling the weight fusion regional contrast value for every pixel point to serve as a pixel value of the corresponding pixel point to obtain enhancement images of the input images. According to the image enhancement and binaryzation method for the photoprint file, the existing LC algorithm is performed on weight fusion improvement by improving the existing regional enhancement algorithm, the provided image enhancement algorithm is prior in effect compared with the existing file image enhancement and binaryzation method, has a good time performance and further improves the image preprocessing speed, and compared with the prior art, the image enhancement and binaryzation method is simple in parameter adjustment and the achievement process is simple and easy to operate.

The invention provides a NURBS curve interpolation fast pre-reading processing method based on an advance-retreat method. The method is characterized in that fast dispersion is carried out on a curvature smooth area of a curve through the advance-retreat method to enable parameter step increment to change quickly, and the number of curve points needing to be processed in the pretreatment process is reduced, and meanwhile, a velocity sensitive region is detected; and a curvature radius calculating function serves as an objective function, and a curvature radius minimum point of the velocity sensitive region is found through a step-length acceleration method, thereby enhancing identification and analysis processing speed of the velocity sensitive region in the forward-looking processing process and realizing fast forward. The method comprises the following specific steps: carrying out fast recognition of the velocity sensitive region through the advance-retreat method; obtaining a curvature extremum value approximation point of the velocity sensitive region; and correcting the curvature extremum value point of the velocity sensitive region, processing being finished. The method greatly reduces the number of points needing to be processed in the pretreatment process, and greatly improves real-time performance of the forward pretreatment process.

The invention discloses a medical image processing method based on a general function. The method comprises the steps that acquired image files are uploaded in a high concurrency manner and are storedin an object storage unit, after each image file is uploaded, a function calculation unit is triggered, and an analysis unit analyzes each image file, and extracts head information and pixel information; an information processing unit constructs an index relation of the image files according to the head information, dynamically maintains the index relation in the memory and completes permanent storage; a compression unit compresses pixel information of each image file, and the compressed image is cached in the object storage unit; and a logic control unit receives a request of a front end application, loads an image viewer, and requests an index relation data model maintained in the memory. The method is based on an event driven function calculation mode, exerts the advantage and characteristic of cloud computing to the greatest extent, simplifies the complication in self-building of a server, and remarkably speeds up image pre-processing.

The invention discloses a pretreatment method of a novel wet-process flower basket. The pretreatment method comprises the following steps: (a), generating ozone by an ozone generator, enabling the generated ozone to enter an ozone and hydrochloric acid tank through an ultrapure water pipeline, and controlling the concentration of the ozone at 1-100ppm; (b), controlling the concentration of hydrochloric acid at 0.01-10mol/L, controlling the temperature of a chemical liquid in the ozone and hydrochloric acid tank at 20-50 DEG C, and uniformly mixing the ozone and the hydrochloric acid in the ozone and hydrochloric acid tank in a bubbling manner; (c), immersing the novel wet-process flower basket in the chemical liquid in the ozone and hydrochloric acid tank, soaking for more than 24h. By thepretreatment method, pretreatment of the novel wet-process flower basket through the existing lye tank can be replaced, a production enterprise can be helped to make full use of the conventional tank-type texturing machine, the utilization efficiency of the tank-type texturing machine is improved, the production progress is accelerated, and the economic benefits of the production enterprise are increased.

The invention provides a medical image processing method based on SaaS, and the method comprises the following steps: authorizing a third side, enabling a service user side to request a service provider side to obtain the verification information uploaded by the third side during the image uploading, distributing a unique uploading identification for the request after successful verification, andcreating an uploading task; enabling the service user side to upload an original medical image file, enabling the service provider side to receive and process the original medical image file, obtaining an access URL address for an extractable medical image file, and storing the access URL address and the original medical image file in an SaaS image cloud platform correspondingly; executing the extraction and reading of the extractable medical image file according to a request of the service user side, displaying the extractable medical image file at the interface of the service user side. Themethod makes the most of the advantages and characteristics of cloud computing, simplifies the complexity of a self-built server, greatly speeds up the image preprocessing speed, lays a foundation forthe quick display of the image, and saves the cost and development cost of the service provider side.

The invention relates to the technical field of waste pretreatment, discloses a hazardous waste pretreatment system based on nitrogen protection, and solves the problems that solid waste is not screened in the crushing process, crushing is not uniform, crushing efficiency is not high, and later incineration is difficult. Supporting legs are symmetrically arranged at the bottom end of the base, a first pretreatment tank body is arranged at the top end of the base, a second pretreatment tank body is arranged above the first pretreatment tank body, the first pretreatment tank body and the second pretreatment tank body are connected through a connecting set, and an outlet pipe penetrating through the lower portion of the base is arranged at the bottom end of the first pretreatment tank body. A feeding hole is formed in the top end of the pretreatment tank body II; and through the design of the crushing mechanism, the acceleration mechanism and the connection group, the second pretreatment tank body can conveniently drive the materials to shake, so that the crushing efficiency and the crushing quality of the materials are improved, and the pretreatment speed of the materials is further improved.

The invention relates to a pesticide residue detection pretreatment device, wherein a grass column device and a ground glass flask are arranged on a bracket table; the bottleneck of the ground glass flask is butted with ground glass interface at the lower end of the glass column device in a sealed manner; the glass column device is a hollow glass column tube and is provided with a vacuum pump connection opening which is connected to a vacuum pump; an inlet at the upper end of the glass column device are connected with a polytetrafluoroethylene helix interface; the upper end of the polytetrafluoroethylene helix interface is connected with a solid phase extraction column by a polytetrafluoroethylene control valve; the polytetrafluoroethylene helix interface includes a screw head and a hollow tube, the screw head is threadly connected with the inlet of the glass column device, the hollow tube is arranged in the inlet of the glass column device, the end of the hollow tube is connected to a stainless steel collecting pipe, and the stainless steel collecting pipe penetrates through the ground glass interface at the lower end of the glass column device and extends into the ground glass flask. The pesticide residue detection pretreatment device can treat a plurality of samples at the same time and meet demands for flow speed control and large-volume elution solutio.

The invention discloses a method and a device for optical element laser preprocessing based on a total reflection principle. The method comprises that a laser beam enters the inside of a transparent optical element from a side of the transparent optical element and irradiates a processing point 1 of the front surface of the transparent optical element, the incident angle of the laser beam meets the optical total reflection condition at the processing angle 1, the laser beam is reflected to the processing point 2 of the rear surface of the element via the total reflection, the laser beam is reflected to the processing point 1 and the processing point 2 back and forth, and the laser beam is subjected to total reflection between the front surface of the inside of the element and the rear surface of the inside of the element till the laser beam exits from the other side of the transparent optical element. The laser beam is subjected to total reflection in the transparent optical element sample, the laser energy is recovered and reused, the front subsurface, the rear subsurface, the front surface, the rear surface and characteristics of the optical element are processed, and the speed of the laser preprocessing is improved.

The invention relates to a method for detecting a target in a vertical elevator based on a cloud server. The method comprises the following steps: a, acquiring image data in a lift car through a liftcar camera of the vertical elevator according to a picture capturing condition; b, writing the image data into a message management module according to node information and a screenshot condition, andstoring the image data into a cloud memory; c, reading the image data from the cloud memory through the message of the consumption message management module and providing the image data to the cloudprocessor; and d, after the cloud processor carries out batch image preprocessing on the image data, using a deep learning detection model deployed on the cloud processor to carry out accelerated reasoning operation, and finally, feeding a detection result back to the data platform. According to the method, the calculation amount of a detection model is reduced by accelerating preprocessing such as image encoding and decoding and scale transformation and replacing and cutting a backbone network, the reasoning time is reduced by using TensorRT acceleration and the like, the performance of a target detection algorithm is optimized to the maximum extent, and the processing capacity of an image in unit time is improved.

The invention discloses an image processing method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of image processing. According to the specific implementation scheme, the method comprises the steps: acquiring a to-be-processed image; converting the image to be processed into a three-channel YUV image; carrying out the convolution operation on a Y channel image, a U channel image and a V channel image in the three-channel YUV image, respectively generating an R channel image, a G channel image and a B channel image, and acquiring a three-channel RGB image; and preprocessing the three-channel RGB image. According to the scheme, the image preprocessing speed can be improved.

The invention relates to a kitchen waste oil extraction treatment process method and system, the method comprises the following steps: washing with water in kitchen waste pretreatment, filtering the liquid to extract oil, hydrolyzing the slurry and then extracting oil, and the system comprises a slurry preparation part, an oil extraction part and a hydrolysis acidification tank. Through water washing and secondary oil extraction, the oil extraction rate can be greatly improved, interference of oil to a pretreatment system is reduced, and the treatment efficiency of the whole system is greatly improved.