35results about How to "Eliminate color differences" patented technology

The invention relates to a geocoding-free rapid image splicing method of a low-altitude unmanned plane. A key frame image is extracted from a video to carry out geocoding-free rapid image splicing to generate a panoramic image. The method comprises the following steps: extracting a key frame image from a video stream to obtain all to-be-spliced images; carrying out feature point extraction including establishing a multi-dimensional space unit, constructing a pyramid image, determining a key point position, and removing an unstable point on all to-be-spliced images and carrying out screening on the key point by using a SUSAN algorithm to obtain a final feature point; carrying out feature matching according to respective feature points of a corresponding reference image and a to-be-matched image; and carrying out smoothening on the to-be-spliced images by using a gain compensation method, carrying out weighted average fusion on spliced overlapped areas to eliminate seams and sawteeth, and carrying out splicing to generate a panoramic image. According to the technical scheme, the method can be applied to fields of emergency surveying and mapping, disaster prevention and mitigation, land monitoring, emergency monitoring, pipeline layout and inspection of the oil sector, and circuit layout and power line inspection of the power sector and the like.

The invention discloses a real-time stitching method for a high-definition video. The method mainly comprises the following steps of synchronous video decoding, initialization, frame-by-frame stitching and the like. Firstly, a high-definition original video of a network camera is collected, and the video is synchronously decoded. For a first frame of video image, the initialization is carried outand includes the steps of video registration based on sub-regions, finding of an optimal stitching line set, generation of a look-up table and the like. After the initialization is completed, the frame-by-frame stitching is carried out and includes the steps of coordinate mapping of video images, detection of a moving object, stitching line update, video fusion and the like, and finally a stitchedvideo is output. In addition, a parallelization strategy is adopted for each step in video decoding and frame-by-frame stitching stages. According to the method, the real-time requirement of high-definition video stitching can be met, and a stitching frame rate is not less than 30 fps for a double-path 720P video; and meanwhile, the phenomena of ghosting, blurring, exposure inconsistence and thelike in the stitched video are avoided.

The invention relates to an image fusion method for a dome screen system. The image fusion method for a dome screen system is characterized by determining the projection area of each projector by means of a mesh model of the dome screen body so as to enable each projector to have adjustability for the projection position; performing edge fusion on each projection area by means of polar coordinatesgeometrical correction processing, so as to enable the projection area image at different position and in different size to achieve the effect of accurate splicing; and respectively performing colorcalibration of the projectors and fusion band blanking operation of projection images by means of unified color processing and light leakage compensation processing, thus effectively avoiding color variation and luminance variation between each edge fusion image. By means of the steps provided by the image fusion method for a dome screen system, the stereo projection image on the dome screen bodycan achieve the display effect of complete frames, unified color and suitable luminance, and comfortable and perfect film watching experience can be brought to spectators. The image fusion device employing the image fusion method for a dome screen system can generate a standard fusion image with better display effect, and the dome screen system employing the image fusion method can have excellentprojection effect and can improve the film watching experience of spectators.

The invention discloses an intelligent water-based ink color blending working process. The intelligent water-based ink color blending working process includes the steps of (1) system startup; (2) initial color blending; (3) initial formula preparation; (4) initial formula production; (5) formula correction; (6) corrected formula preparation; (7) corrected formula production; and (8) circulated correction and storage. According to the intelligent water-based ink color blending working process, through mutual combination of color blending software and an ink mixing machine, intelligent, standard and datamation color blending balance is achieved, the color difference obtained after color blending is eliminated to the maximum degree, the colors obtained after color blending are consistent, and the colors on specific products can keep consistent to the maximum degree.

The invention relates to a color-difference-eliminating light-emitting chip grading method and application method of graded light-emitting chips. The light-emitting chip grading method comprises the steps of: testing CIE1931 color coordinates of an LED light-emitting chip; determining the CIE1931 color coordinate range of the three primary colors of red, green and blue which human eyes can recognize according to MacAdam color ellipse tolerance range in the chromaticity theory and screen display effect and determining grades according to the range R (Delta x, Delta y), G (Delta x, Delta y), B (Delta x, Delta y). The application method of the light-emitting chip in each grade is as follows: the LED display screen is made by using the light-emitting chip belonging to the same grade or the light-emitting chip with increasing or decreasing grades. The invention can eliminate the color difference of the COB packaged display screen or make the color of the display screen gradually change, thereby increasing the comfort of viewing by human eyes.

The invention relates to a stereo video color correction algorithm based on homography matrixes. The algorithm comprises the following steps: firstly, detecting Harris corner feature points in all video frames of a target video, and matching and tracking the feature points between all adjacent video frames by using a Kanade-Lucas-Tomasi (KLT) algorithm; secondly, obtaining motion trajectories of each feature point according to the matching feature points between adjacent video frames, and then selecting a feature points; then, calculating the homography matrixes between two adjacent frames through the selected a feature points by using a random sample consensus algorithm (RANSAC); finally, correcting the color of the first frame in the target video by using an image color correction algorithm; and correcting the colors of the second frame and subsequent frames after the second frame in the target video according to the solved homography matrixes. The algorithm can achieve good color correction results for color-distorted stereoscopic videos, so that the corrected target video and reference video maintain time and spatial color consistency.

The invention discloses automatic spraying camouflage coating for manipulators and a method for preparing the automatic spraying camouflage coating. The method includes (1), adding 35.00-42.00 parts of acrylic resin, 0.50-1.00 part of dispersing agents, 1.00-3.00 parts of anti-sagging agents, 1.50-2.50 parts of extinction powder, 0.10-5.00 parts of electrically conductive optical materials, 7.00-18.00 parts of pigment, 17.00-23.00 parts of fillers and 6.00-8.50 parts of mixed solvents into an accessory tank and uniformly stirring the acrylic resin, the dispersing agents, the anti-sagging agents, the extinction powder, the electrically conductive optical materials, the pigment, the fillers and the mixed solvents to obtain first mixtures; (2), grinding the first mixtures by the aid of a sand mill until the fineness of the first mixtures reaches 18-22 micrometers; (3), adding 4.00-6.00 parts of special modified polyester compounds, 3.00-5.00 parts of silicon dioxide nanometer composite materials and 6.00-8.50 parts of mixed solvents into paste and uniformly stirring the special modified polyester compounds, the silicon dioxide nanometer composite materials, the mixed solvents and the paste to obtain second mixtures; (4), regulating the viscosity of the second mixtures until the viscosity of the second mixtures reaches coating-4 cup 65-80 S; (5), filtering and packaging the automatic spraying camouflage coating. The automatic spraying camouflage coating and the method have the advantages that the automatic spraying camouflage coating is reasonable in design and has tone which is consistent with natural backgrounds, anti-infrared camouflage effects of spectral reflection curves can be realized by the automatic spraying camouflage coating, and problems in the aspects of sagging, drying speeds, surface smoothness and the like in automatic paint spraying procedures can be solved.

The invention relates to an LED light emitting chip hybrid gear dividing method. The method comprises the steps that according to the MacAdam color ellipse wide capacity range combined with the screendisplay effect, the CIE1931 color coordinate range which can be recognized by human eyes of three primary colors is determined, and gears are divided according to the range; light emitting chips areplanned into the corresponding gear according to different color coordinates thereof; the gears are divided into main gears and disperse gears according to the proportion of the number of light emitting chips in each gear, and the light emitting chips in a number of disperse gears are fully mixed and merged into a merged gear; the light emitting chips in the merged gear are placed on a merged gear blue film and provided for a downstream display manufacturer for use in mid-low end displays; and the light emitting chips belonging to the same main gear are placed on the same blue film and provided for a downstream display manufacturer for use in high-end small-pitch displays. According to the invention, the consistency of the color purity of high-end small-pitch displays is high, and the problems of large number, difficult management and poor availability of disperse gears of small share are solved.

The invention relates to a space-time consistency-based stereoscopic video color correction method. The method comprises the steps of firstly, selecting out a pair of key frames from a reference videoframe and target video frames every a frames, and selecting k pairs in each time sliding window; secondly, for each pair of the key frames, obtaining an initial color correction result frame of the target video key frames by adopting an image color correction algorithm, and then obtaining a color correction result video frame which is more consistent with the input target video key frames in structure through guided filtering calculation; thirdly, obtaining a color mapping function between the target video key frames and the target video key frames subjected to the color correction through improved histogram matching in the time sliding window; and finally, correcting the a target video frames located in the center of the time sliding window by using the color mapping function to obtain afinal target video frames subjected to the color correction. A good correction effect can be achieved for color difference of stereoscopic videos.

The invention provides a seam line automatic generation method based on a Dijkstra algorithm with weight. The seam line automatic generation method comprises the following steps that S1 an overlapped area between two adjacent images is calculated according to a digital ortho-image through ortho-rectification; S2 a Dijkstra algorithm reference point is calculated according to the overlapped area, and a digraph is generated; S3 weight parameters are set, the digraph shortest path is calculated through the Dijkstra algorithm based on the weight parameters, and a seam line is generated and displayed in real time; S4 the seam line is optimized, and a mosaic surface is generated and correlated with the images; and S5 the images correlated with the mosaic surface are outputted to the designated position according to control information. The seam line is extracted through the Dijkstra algorithm with the weight so that manmade objects can be effectively avoided by extraction of the seam line, color difference of water areas can be eliminated, large amount of manual editing work can be saved, the degree of automation of extraction of the seam line can be further enhanced and the extracted seam line is ensured to have great accuracy.

The invention provides touch display equipment. The touch display equipment comprises a transmitting cover plate, a shading layer, a touch induction layer and a color modulation layer, wherein the transmitting cover plate is provided with an inner surface; the inner surface is divided into a first region and a second region; the shading layer is arranged in the first region and not located in the second region of the inner surface; and the color modulation layer is located between the shading layer and the transmitting cover plate, so that the chromatic aberration between the first region and the second region is smaller than or equal to 3 when the touch display equipment is in a non-use state. Through the touch display equipment, the color difference between a visual region and a non-visual region can be lowered and even eliminated, and therefore the visibility of a boundary between the visual region and the non-visual region is lowered.

The invention provides an intelligent prediction system for pathological indexes. Firstly, the shape categories of patterns in image blocks are classified, and then, the image blocks are input to pathological index predictors corresponding to different shape categories to obtain a classification result of each pathological index predictor. and finally, according to the number of the image blocks contained in different combinations formed by thee pathological index categories and the shape categories and the weight of each pathological index predictor, the score of a certain pathological section image belonging to each pathological index category is calculated, the pathological index category corresponding to the maximum score is taken as a final pathological index prediction result of a pathological section image. Therefore, the image blocks are classified more meticulously, and validity analysis is performed on the image blocks of various shapes and categories, so that the validity ofimage block-level prediction data and the predictors and the accuracy of a patient-level prediction result can be obviously improved.

The invention discloses a method for combined weaving of eucommia ulmoides twigs and wicker. The method includes the following operation steps that firstly, when the eucommia ulmoides twigs and the wicker after peel removing treatment are dried till the water content is 20% or below, the eucommia ulmoides twigs and the wicker are placed in soaking liquid, and are subjected to natural airing treatment for 20-24 hours after soaking treatment is performed for 5-6 hours; secondly, the eucommia ulmoides twigs are placed on a stainless steel net, the wicker is placed above the eucommia ulmoides twigs, the upper portion of a cooking boiler is covered with the stainless steel net, a cooking material is placed in the cooking boiler, a large fire is opened, and cooking treatment is performed for 50-60 min; and thirdly, the eucommia ulmoides twigs and the wicker after being subjected to treatment in the second step are placed into a drying oven again, after drying treatment, weaving forming is performed, and finished products are made. The method for combined weaving of the eucommia ulmoides twigs and the wicker is easy to operate, low in cost and green and environment-friendly, woven wickerproducts are remarkable in mould proof and insect proof effect, and it is avoided that due to the fact that a toxic mould proof agent is added, the quality and the safety performance of the wicker products are affected

The invention provides a face comparison method and device, and the method comprises the steps: obtaining a to-be-recognized face image; inputting the face image to be recognized into the face comparison model to obtain a face comparison result output by the face comparison model; wherein the face comparison model is obtained by training based on a sample image and a texture label corresponding to the sample image; the face comparison model is used for performing color adjustment and texture filling on face image features extracted based on the to-be-recognized face image and then performing face comparison with pre-stored face comparison features. According to the invention, color adjustment is carried out on the face image features by using the color features extracted by the face comparison model so as to eliminate color differences caused by image source differences, and texture filling is carried out on the face image features by using the texture features extracted by the face comparison model. Therefore, the loss of texture features of face image features caused by a color-removed region is avoided, and the accuracy of subsequent face comparison is improved.

The invention discloses a remote sensing image color consistency processing method based on an optimal path, belongs to the technical field of optical satellite remote sensing image processing, and solves the problem of low efficiency of color consistency processing of multiple remote sensing images in the prior art. The method comprises the following steps: determining a to-be-processed remote sensing image set, calculating effective boundaries of all remote sensing images in the set, and determining a spatial position relationship among the images in the set; selecting a color reference image from all the remote sensing images in the set; calculating an optimal uniform color path based on the spatial position relationship among the images in the set; based on the color reference image, performing brightness normalization preprocessing on all the images in the set; and performing color consistency processing on all the images subjected to brightness normalization preprocessing according to the sequence in the optimal uniform color path: performing color consistency processing on the node images according to the sequence in the optimal uniform color path, so that each node image is consistent with the reference image in color until all the node images in the path are completely processed.