31results about How to "Easy to highlight" patented technology

An editing method includes: detecting a selection of first and second clip portions of a source media depiction, generating corresponding first and second block icons and snapping hands-free the first and second block icons across the screen to a linear queue so that the blocks are snugly adjacent, detecting a move of the first or second block icon relative to one another substantially along the queue, and if the first or second block icon overlaps the other by substantially one half of the other block icon, reversing displayed positions in the queue of the first and second block icons.

An editing method includes: detecting a selection of first and second clip portions of a source media depiction, generating corresponding first and second block icons and snapping hands-free the first and second block icons across the screen to a linear queue so that the blocks are snugly adjacent, detecting a move of the first or second block icon relative to one another substantially along the queue, and if the first or second block icon overlaps the other by substantially one half of the other block icon, reversing displayed positions in the queue of the first and second block icons.

The invention discloses a method for improving sun-cured tobacco processing quality. The method includes respectively taking burley tobacco, aromatic tobacco, yellow sun-cured tobacco or red sun-cured tobacco as independent formula modules for grouping and processing, selecting differentiated process parameters and baking equipment to bake the sun-cured tobacco and prepare shredded tobacco according to product style positioning and processing characteristics of the sun-cured tobacco, and blending and flavoring the processed sun-cured tobacco set by means of leaf blending or shredded tobacco blending and flue-cured tobacco, cut stems and slices. Consequently, inherent excellent quality of the sun-cured tobacco is maintained to the greatest extent, own unexpected factors of the sun-cured tobacco are effectively eliminated, biggest value of cigarette materials is realized, and bigger space is provided for process adjustment. Compared with conventional 'packaging-type' mixed production modes, the method is more exquisite and conducive to demonstration of characteristic aromas of the sun-cured tobacco and effective removal of offensive odors.

The invention discloses a different-source image fusion method based on salient target region extraction and NSST (Non-subsampled Shearlet Transform). The method comprises the following steps that: firstly, extracting the salient target region of an infrared image; carrying out registration on infrared and visible images to obtain an affine transform matrix; through the affine transform matrix, obtaining the position of the salient target region of the infrared image in the visible light image; carrying out NSST on the infrared and visible light image; utilizing different methods to carry outfusion on the NSST results of a target area and a non-target area of two images; and finally, through NSST inverse transform, obtaining a final fusion result. By use of the method, two different-source images of the infrared light and the visible light can be effectively fused, a fusion result can better highlight and keep the target, and the background detail information of the non-target area inthe visible light image can be more favorably kept.

The embodiment of the invention discloses an image denoising method and device. The method comprises the steps of determining a denoising adjacent region and a reference adjacent region from a Bayer template image; on the basis of color components of a center pixel point, obtaining a first RGB color component value in the denoising adjacent region and a second RGB color component value in the reference adjacent region; on the basis of the color components of the center pixel point, conducting zooming processing on the first RGB color component value to obtain a first set of RGB color vectors, and conducting zooming processing on the second RGB color component value to obtain a second set of RGB color vectors; on the basis of the first set of RGB color vectors and the second set of RGB color vectors, obtaining a smoothing weight of the reference adjacent region relative to the denoising adjacent region; on the basis of the smoothing weight, conducting denoising processing on the denoising adjacent region.

The invention relates to a fault on-line detection method of a steel wire rope conveyer belt based on texture regularity analysis, belonging to the field of fault detection. The problems that in the current fault detection of the steel wire rope conveyer belt based on X-ray, the real-time performance is worse, the accuracy rate is not high, the fault detection is mainly done basing on manual analysis, and the like are solved. According to the characteristics that the gray scale of an X-ray image of the steel wire rope conveyer belt is in regular variation and the texture of the X-ray image of the steel wire rope conveyer belt is in regular strike-shaped distribution, after the input image is subjected to normalization and standardization processes, parameter values of LRB (Light Regular Band) and DRB (Dark Regular Band) of each pixel can be progressively scanned and calculated, the parameter values of the LRB and the DRB of each pixel can be subtracted from the parameter values of the LRB and the DRB of the whole image, then the difference value can be compared with a threshold value obtained in a training stage, thus whether the fault exists or not can be judged, and a fault area can be detected from the fault image. According to the fault on-line detection method of the steel wire rope conveyer belt based on the texture regularity analysis, disclosed by the invention, the fault detection of the steel wire rope conveyer belt can be online, automatically and accurately realized.

The invention discloses a method for enabling the graph and text to have stereo vision effects, the method comprises: firstly printing stereo graph and text through synthesized processing on the paper sheet; pre-making cylinder lens space and shape matched with the stereo graph and text in a hot stamping head of the hot stamping apparatus; pasting the thin film on the graph and text surfaces; after hot pressing, forming the grating, thereby generating the stereo vision effect. After the completed printed articles are cut into required shapes on the module cutting machine, the printed articles can be used as packaging materials. The vision effect is obvious and is convenient for showing the product characteristic and the enterprise sign. The invention can be applied to the surface of the existing majorities of paper printed articles, however folding, cutting or assembling, the vision representation of the stereo graph and text can not be influenced. Relative to the grating board product, the invention has characteristics of convenience, environmental protection and easy bulk production, and has good market application prospect.

The invention provides a high-resolution light guide plate image defect detection method, including the following steps: the original picture of the light guide plate is collected, a light guide plateoriginal image is enhanced, a maximum inter-class variance method is used for threshold segmentation of that image enhancement image of the light guide plate, the connected domain is obtained from the threshold processing display graph, a light guide plate whole connected region is extracted with that lar area, a maximum area extraction graph is transformed into a shape, a light guide plate imageshape conversion map is adjusted in a gray value, the gray value adjustment map is partitioned, Gaussian bias is applied to the partition display image of the light guide plate, a mask process is performed on the Gaussian partial derivative display image, Fourier positive transform is carried out on the mask processing display graph, a sinusoidal shape band-pass filter is established, inverse Fourier transform is carried out on the convolution display graph, threshold treatment is carried out on the inverse Fourier transform display graph, the connected domain is obtained on the second threshold treatment display graph, defects are extracted on the second connected domain display graph, and defects are displayed.

The invention discloses a bellyband special for a stoma. The bellyband comprises a first bellyband, a second bellyband, a left stoma hole and a right stoma hole. A fixing hole is formed inside t he first bellyband, the second bellyband is arranged at the left side of the first bellyband, a fixing block is arranged at the surface of the second bellyband, the fixing block is embedded into the fixinghole, the right stoma hole is formed inside the first bellyband, the right stoma hole is formed inside the second bellyband, elastic bands are arranged at the two sides of the first bellyband and thesecond bellyband, connecting belts are arranged at the two sides of the elastic bands, the hook faces of hook and loop fasteners are arranged at the right sides of the elastic bands, and the loop faces of the hook and loop fasteners are arranged at the left sides of the elastic bands. According to the bellyband special for the stoma, the hook faces and the loop faces of the hook and loop fasteners are attached when the bellyband is in use, the first bellyband and the second bellyband are fixed to the stoma, the size of a hole between the left stoma hole and the right stoma hole can be adjusted by adjusting the distance between the fixing block and the fixing hole, and a user can conveniently use the bellyband.

The invention relates to a hyperspectral anomaly detection method and apparatus. The method comprises the steps of obtaining hyperspectral data of an object row by row; calculating a minimum row number k of the hyperspectral data required for determining background information; if a row mark number of a current row of the obtained hyperspectral data is greater than k, calculating an autocorrelation matrix of the current row of the hyperspectral data, taking the autocorrelation matrix as a first autocorrelation matrix, and taking a background autocorrelation matrix of all rows of the hyperspectral data before the current row as a second autocorrelation matrix; calculating a background autocorrelation matrix of the current row of the hyperspectral data and all the rows of the hyperspectral data obtained before the current row of the hyperspectral data; performing compression processing on the background autocorrelation matrix to obtain a compressed matrix; and performing anomaly detection on the current row of the hyperspectral data by utilizing the compressed matrix. According to the method and the apparatus, the anomaly detection is carried out row by row, so that the processing efficiency is improved, and the demands of special industries on real-time or quasi real-time processing of the hyperspectral data can be met.

A spindle motor capable of suppressing an increase in number of parts and reducing a man-hour for assembly, and having an automatic balancing mechanism and a disk centering function, comprising a motor part (31) for rotating a disk (30) used as a recording medium, a turn table (12) for mounting the disk (30), and a holder plate (14) installed on the lower part of the turn table (12), wherein spherical bodies (16) are disposed in an annular space (22) formed of the turn table (12) and the holder plate (14) to form the automatic balancing mechanism, and the disk (30) centering function is provided to a plurality of claw parts (5) formed at the center part of the holder plate (14).

The invention relates to a user name sample labeling method, and the method comprises the steps of carrying out the clustering of user name samples based on the obtained semantic features of all user name samples, so as to obtain a plurality of sample clusters; according to respective specified features of the plurality of sample clusters, screening the sample clusters meeting a predetermined sample cluster selection condition from the plurality of sample clusters, wherein the specified features are used for representing whether user name samples in the sample clusters are in a negative sample type, and the sample cluster selection condition is determined based on a specified feature statistical result of a sample cluster formed by the user names which are identified as abnormal user names in advance; and marking the user name samples in the screened sample clusters as negative user name samples.

The invention discloses an image processing method and device and an all-in-one machine. The image processing method includes: displaying a target original image on a screen in a visual mode; dividing the target original image into a plurality of areas according to a preset rule; obtaining a target area selected by a user from the plurality of areas; and after an amplification trigger signal is received, amplifying the target area, and visually presenting the amplified target area, wherein the amplification trigger signal is used for representing that the target area is amplified. On the premise of not occupying too much memory resources, local details are highlighted to achieve a highlighting effect.

The invention relates to a fault on-line detection method of a steel wire rope conveyer belt based on texture regularity analysis, belonging to the field of fault detection. The problems that in the current fault detection of the steel wire rope conveyer belt based on X-ray, the real-time performance is worse, the accuracy rate is not high, the fault detection is mainly done basing on manual analysis, and the like are solved. According to the characteristics that the gray scale of an X-ray image of the steel wire rope conveyer belt is in regular variation and the texture of the X-ray image of the steel wire rope conveyer belt is in regular strike-shaped distribution, after the input image is subjected to normalization and standardization processes, parameter values of LRB (Light Regular Band) and DRB (Dark Regular Band) of each pixel can be progressively scanned and calculated, the parameter values of the LRB and the DRB of each pixel can be subtracted from the parameter values of the LRB and the DRB of the whole image, then the difference value can be compared with a threshold value obtained in a training stage, thus whether the fault exists or not can be judged, and a fault area can be detected from the fault image. According to the fault on-line detection method of the steel wire rope conveyer belt based on the texture regularity analysis, disclosed by the invention, the fault detection of the steel wire rope conveyer belt can be online, automatically and accurately realized.

The invention provides a camera used for reconnaissance as well as a reconnaissance system and relates to the technical field of reconnaissance equipment. The camera used for the reconnaissance and provided by the invention comprises an imaging device, a multiband light source and a light filtering device; the imaging device is used for receiving light rays and converting the light rays into an electrical signal; the multiband light source comprises multiple LED lamp beads which are arranged at intervals around the imaging device, and the multiple LED lamp beads can give out lights with multiple wavelengths; and the light filtering device is detachably connected with the imaging device and is used for filtering the light rays of the imaging device. By virtue of the camera used for the reconnaissance and provided by the invention, the technical problems that operation is complex in shooting and evidence collecting processes in the prior art and shooting recording can not be convenientlyperformed on a trace of a physical evidence are alleviated.

The embodiment of the invention discloses an image denoising method and device. The method comprises the steps of determining a denoising adjacent region and a reference adjacent region from a Bayer template image; on the basis of color components of a center pixel point, obtaining a first RGB color component value in the denoising adjacent region and a second RGB color component value in the reference adjacent region; on the basis of the color components of the center pixel point, conducting zooming processing on the first RGB color component value to obtain a first set of RGB color vectors, and conducting zooming processing on the second RGB color component value to obtain a second set of RGB color vectors; on the basis of the first set of RGB color vectors and the second set of RGB color vectors, obtaining a smoothing weight of the reference adjacent region relative to the denoising adjacent region; on the basis of the smoothing weight, conducting denoising processing on the denoising adjacent region.

The invention discloses a method for extracting and identifying candidate areas of traffic signal lights in complex environments. When the present invention extracts the traffic signal candidate area, by avoiding the way of directly processing from the grayscale image, the processing of the image is carried out in the way of extracting the perceptual model of multi-layer image information and tensor structure. The redundant and cluttered areas in the original image are effectively removed, and a more accurate segmented image is obtained. At the same time, the time-domain cross-correlation information between associated elements is combined when extracting the associated image set to better retain the content of traffic lights in the image. In the recognition stage, the internal features of the tensor are extracted from the structure tensor built on the basis of the perceptual model, which effectively improves the recognition accuracy. The invention takes into account the target extraction under simple background and complex background, and has high accuracy and good robustness.

The invention discloses a bellyband special for a stoma. The bellyband comprises a first bellyband, a second bellyband, a left stoma hole and a right stoma hole. A fixing hole is formed inside t he first bellyband, the second bellyband is arranged at the left side of the first bellyband, a fixing block is arranged at the surface of the second bellyband, the fixing block is embedded into the fixinghole, the right stoma hole is formed inside the first bellyband, the right stoma hole is formed inside the second bellyband, elastic bands are arranged at the two sides of the first bellyband and thesecond bellyband, connecting belts are arranged at the two sides of the elastic bands, the hook faces of hook and loop fasteners are arranged at the right sides of the elastic bands, and the loop faces of the hook and loop fasteners are arranged at the left sides of the elastic bands. According to the bellyband special for the stoma, the hook faces and the loop faces of the hook and loop fasteners are attached when the bellyband is in use, the first bellyband and the second bellyband are fixed to the stoma, the size of a hole between the left stoma hole and the right stoma hole can be adjusted by adjusting the distance between the fixing block and the fixing hole, and a user can conveniently use the bellyband.

The invention discloses a processing method of Pukeng tea. The method includes the following steps: picking fresh leaves: picking the fresh leaves in grades according to tenderness; spreading the leaves: uniformly spreading the fresh leaves on bamboo strips, and performing drying in a ventilation and dry room for 3.5-5 h; performing enzyme deactivation: performing enzyme deactivation by using an iron pan or an enzyme deactivation machine, wherein the temperature is 220-300 DEG C, and the time is 5-10 min; performing twisting: performing twisting by using a twisting machine, wherein the time is8-10 min; performing primary drying: performing drying by using a dryer until the moisture content of the tea leaves is less than 12%; performing steaming: performing steaming by using a wooden steaming barrel, wherein the time is 35-40 min; performing secondary twisting: performing twisting by using a twisting machine, wherein the time is 8-10 min; performing pile fermentation: packing the tea leaves by using a cloth bag, knotting the bag mouth to form a tea bag, putting the tea bag on bamboo strips, and performing pile fermentation for 11-13 h; and performing secondary drying: performing drying by using a dryer until the moisture content of the tea leaves is less than 12% to obtain the finished tea. The method forms clear process parameters, makes the production standardized, solves theproblem of uneven quality of tea, and can also shorten the aging time and improve the efficiency.

The embodiment of the invention discloses a category navigation method and electronic equipment. The method comprises the steps: displaying a target page, which comprises an atlas display area, wherein the atlas display area is used for carrying out aggregation display on representative images of a plurality of child-level categories under a target parent-level category, and each representative image corresponds to an operable area; after a category selection operation of a user is received through a target operable area corresponding to one target representative image, determining a sub-level category corresponding to the target representative image as a selected target sub-level category; and providing detailed information about the target sub-level category. According to the embodiment of the invention, more intuitive and more flexible category navigation based on images can be realized.

The invention discloses a spatial information space-time big data constraint expression method. The method comprises the following steps of data acquisition, construction of a vector and grid compatible data structure, data comprehensive expression, data correction, space-time benchmark unification, space-time big data constraint and space-time big data cleaning and updating. According to the method, a multi-dimensional heterogeneous basic data organization unit and an organization system taking a topological relation between parent and child regions as a relation are established through normalization fusion of data structures; the organization modes of the layered spatiotemporal data and the framing spatiotemporal data are conveniently and comprehensively expressed; the space-time big data modeling method has the advantages that data can be highlighted conveniently, time synchronization and space benchmark unification in the space-time big data are achieved, space-space-ground integrated fusion of GNSS and the Internet of Things is achieved, theoretical support is provided for high time resolution and high space resolution. Meanwhile, a data constraint mechanism is formed before space-time big data modeling, deviation is removed conveniently, and precision is improved.

The invention relates to the technical field of ultra-precision electronic product processing, in particular to a high-power laser Bar packaging vacuum reflow furnace positioning clamp device which comprises a base, an etched silicon wafer positioning groove module and an adjusting and assembling module. The top of the base is provided with a right-angle clamping part for clamping an etched silicon wafer. The etched silicon wafer positioning groove module is installed on the right-angle clamping part and is used for clamping a chip set to be welded and enabling the chip set to be welded to abut against the etched silicon wafer. The adjusting and assembling module is used for positioning the etched silicon wafer positioning groove module. The high-power laser Bar packaging vacuum reflow furnace positioning clamp device has the beneficial effects that a workpiece is divided into a plurality of parts to be clamped on the base and the etched silicon wafer positioning groove module, and then all the parts are positioned through the adjusting and assembling module; the high position freedom degree of a probe clamp is ensured, the position change of the workpiece can be quickly coped with, and the workpiece can be accurately clamped; and relative independence of welding of the parts is ensured, movement of the previous part caused by placement of the next part is avoided, and packaging quality of finished products is improved.

The invention provides a potato chip detumescence device and a using method thereof. The potato chip detumescence device comprises a shell with one end open, a sealing cover matched with the opening, a fixing mechanism used for fixing potatoes and a slicing mechanism used for slicing the potatoes, and the fixing mechanism comprises a fixator and a clamping ring in threaded connection with the outer circumferential wall of the fixator; the bottom end of the fixator is provided with an inserting needle inserted into a potato, a mounting hole is formed in the position, close to the opening, of the top of the shell, the clamping ring is fixedly connected with the mounting hole, sliding grooves are formed in the two side walls, opposite to the opening, of the shell, and the slicing mechanism comprises a fixing block, a blade and a pull rod. The two ends of the fixing block are provided with fixing shafts matched with the sliding grooves, the blade is fixed to the side, facing the opening of the shell, of the fixing block, and the two sides of the blade are provided with fixing rods connected with the fixing block. According to the potato chip detumescence device, potatoes can be conveniently sliced, potato slices can be conveniently fixed to the human body, and the potato slices can be prevented from being polluted.

The invention relates to a hyperspectral anomaly detection method and apparatus. The method comprises the steps of obtaining hyperspectral data of an object row by row; calculating a minimum row number k of the hyperspectral data required for determining background information; if a row mark number of a current row of the obtained hyperspectral data is greater than k, calculating an autocorrelation matrix of the current row of the hyperspectral data, taking the autocorrelation matrix as a first autocorrelation matrix, and taking a background autocorrelation matrix of all rows of the hyperspectral data before the current row as a second autocorrelation matrix; calculating a background autocorrelation matrix of the current row of the hyperspectral data and all the rows of the hyperspectral data obtained before the current row of the hyperspectral data; performing compression processing on the background autocorrelation matrix to obtain a compressed matrix; and performing anomaly detection on the current row of the hyperspectral data by utilizing the compressed matrix. According to the method and the apparatus, the anomaly detection is carried out row by row, so that the processing efficiency is improved, and the demands of special industries on real-time or quasi real-time processing of the hyperspectral data can be met.

The invention provides a high-resolution light guide plate image defect detection method, including the following steps: the original picture of the light guide plate is collected, a light guide plateoriginal image is enhanced, a maximum inter-class variance method is used for threshold segmentation of that image enhancement image of the light guide plate, the connected domain is obtained from the threshold processing display graph, a light guide plate whole connected region is extracted with that lar area, a maximum area extraction graph is transformed into a shape, a light guide plate imageshape conversion map is adjusted in a gray value, the gray value adjustment map is partitioned, Gaussian bias is applied to the partition display image of the light guide plate, a mask process is performed on the Gaussian partial derivative display image, Fourier positive transform is carried out on the mask processing display graph, a sinusoidal shape band-pass filter is established, inverse Fourier transform is carried out on the convolution display graph, threshold treatment is carried out on the inverse Fourier transform display graph, the connected domain is obtained on the second threshold treatment display graph, defects are extracted on the second connected domain display graph, and defects are displayed.

The embodiment of the invention discloses a display method of news headlines and a server for providing news pages. Hot news is highlighted, the manpower is saved, and the due timeliness of the hot news can be reflected at the same time. The method comprises the steps of receiving the number of user clicks and / or the number of comments of each news headline reported by a news client, counting the number of the user clicks and / or the number of the comments of each news headline in a preset period of time, screening out a preset number of news headlines, and automatically highlighting the news headlines screened out. The server comprises a data statistic unit for statistics of the number of the user clicks and / or the number of the comments of each news headline in the preset period of time, and screening out the preset number of news headlines with more user clicks and / or comments, and a highlighting processing unit for automatically highlighting the preset number of news headlines screened out. The method and the server are applicable to displaying the news headlines.

The invention discloses a method for enabling the graph and text to have stereo vision effects, the method comprises: firstly printing stereo graph and text through synthesized processing on the papersheet; then printing the corresponding cylinder lens grating on the stereo gram and text according to the corresponding cylinder lens space, thereby forming the stereo vision effect. After the completed printed articles are cut into required shapes on the module cutting machine, the printed articles can be used as packaging materials. The vision effect is obvious and is convenient for showing theproduct characteristic and the enterprise sign. The invention can be applied to the surface of the existing majorities of paper printed articles, however folding, cutting or assembling, the vision representation of the stereo graph and text can not be influenced. Relative to the grating board product, the invention has characteristics of convenience, environmental protection and easy bulk production, and has good market application prospect.