33results about How to "In line with observation habits" patented technology

The present disclosure relates to a method and device for fusing infrared images and visible light images. The method includes: performing color space conversion on the visible light image to obtain its luminance component; extracting edge information of the luminance component of the visible light image, and fusing the edge information with the luminance component of the infrared image to obtain a fused luminance component; Performing pseudo-coloring on the infrared image to obtain a pseudo-color infrared image; performing color space conversion on the pseudo-color infrared image to obtain its hue component and saturation component; combining the fused brightness component, the hue component and the The color space inverse conversion is performed on the above saturation components to obtain a pseudo-color fusion image. The fused image obtained according to the method and device of the present disclosure can not only keep the detail information of the visible light image but also keep the temperature information of the infrared image.

The invention discloses a three-dimensional non-contact coordinate measuring device for fabric or clothing fabric, which is composed of a fabric clamping device 1, a sensor 7 and a microcomputer 12 placed flat on a horizontal desktop 2, and the fabric clamping device 1 includes a movably connected rotating shaft 5 and a black magnetic plate 6, the fabric to be tested 3 is adsorbed on the black magnetic plate 6 through the magnetic strip 4; the sensor 7 is composed of a left camera 8, a right camera 8′ and a grating projector 9 that are stuck in the chute 10 and the position can be adjusted , the grating projector 9 is equipped with a white projection bulb and a coded grating that can produce regular variable frequency fringes; the center of the sensor 7 is at the same height as the center of the fabric 3 to be tested; the left camera 8 and the right camera 8' are connected to the microcomputer 12 The beneficial effects of the present invention are: quickly, accurately and efficiently capture the surface geometric information of the fabric, and provide rich and reliable three-dimensional measurement data for objectively evaluating the flatness level of the fabric.

The present invention relates to the technical field of imaging, in particular to a horizontally mounted photoelectric pod image adjustment method, apparatus and system. The method comprises: acquiring attitude angles of a carrier and a frame roll angle and a frame pitch angle of a photoelectric pod, wherein the attitude angles include a carrier azimuth, a carrier pitch angle and a carrier roll angle; according to the attitude angles of the carrier and the frame roll angle and the frame pitch angle of the photoelectric pod, calculating a rotational angle of an image; and according to the rotational angle, rotating the image obtained by an optical sensor. According to the image adjustment method, apparatus and system provided by the present invention, the rotational angle of the image is calculated, and according to the rotational angle, the image obtained by the optical sensor is rotated; and the rotated image is an image obtained when a photoelectric pod scans a same object, so that observation habits of human eyes are better fitted, observers are not required to perform conversion on a correspondence between the image and a direction, and the observation is more convenient.

The invention provides an interactive image processing method used for a video. The method comprises the following steps of extracting key frames from a video sequence; overlaying frames between adjacent key frames one by one to form a key frame cluster used for interactive marking; distinguishing the images of the key frames into a foreground area, a background area and an unknown area; carrying out spectral clustering and alpha value estimation on the key frames to obtain the sectional drawing result of the key frames; and finally, transferring the sectional drawing result of the key frames to the whole video sequence to obtain a final sectional drawing result. Because the foreground points are interactively marked on each key frame cluster, spatiotemporal information contained in the video sequence is fully utilized, and the naturalness and the intuition of user interaction are guaranteed on the basis of the user interface of the key frame, thereby conforming to the observation habit of a human visual system. Marking on the key frame clusters replaces independently marking on the key frames, and therefore the method has strong robustness for the situation with the big foreground object local action.

The invention discloses a high precision rapid extraction method of the centerline of blood vessels based on a boundary distance field, which mainly solves problem that both the extraction rate of blood vessel in CAT angiogram volume data and the extraction precision of centerline are low. The method comprises the following steps of using octree for partitioning the volume data and recording all blocking partition information; using relationship between maximum value and minimum value of each blocking partition and dual threshold for extracting blood vessels and calculating the boundary distance field; using the summation of reciprocal of gradient value of blood vessel voxel in the original CTA data and laplace transformation value as the initial value of the boundary distance; establishing a maximum cost spanning tree based on the boundary distance field and extracting the trunk of the tree as initial centerline of blood vessels; using gravity method for revising the initial centerline, thus leading the points on the centerline to be at the gravity center of the cross section of blood vessel lumen, thus obtaining the final blood centerline. The extraction method has the advantagesof high blood vessel extraction rate, high centerline extraction precision, and is applicable to the centerline extraction of various lumen tissues.

The invention provides a sighting device and a brightness adjusting system thereof. The brightness adjusting system of the sighting device comprises a first image sensor, a second image sensor, a data processor and a touch display, wherein the first image sensor is arranged between an objective lens assembly and an aiming reticle of the sighting device; the second image sensor is arranged on the outer side of an eye lens assembly of the sighting device; the data processor is connected with the first image sensor and the second image sensor; the touch display is arranged outside the sighting device, is connected with the data processor, and is used for receiving and displaying superposed and graduated objective images transmitted by the data processor, receiving brightness adjusting instructions of a user and transmitting the brightness adjusting instructions to the data processor; and the data processor is also used for adjusting the brightness of an illuminator of the aiming reticle according to the brightness adjusting instructions. By the brightness adjusting system of the sighting device, the brightness of the illuminator can be adjusted according to an actual displaying effect, graduated images are easily distinguished from the objective images, and the precision of the sighting device is improved.

The invention discloses a stereoscopic image visual saliency extraction method based on frequency domain sparse representation, which acquires a small-sized three-channel image and a small-sized normalized disparity map of a left viewpoint image of a test stereoscopic image; for the three-channel image and The normalized disparity map is divided into blocks to obtain the matrix corresponding to the block image; the four matrices are composed of a quaternion matrix, and the transformed quaternion matrix is ​​obtained after the two-dimensional quaternion Fourier transform, and according to the real part and the three The low-frequency component of the imaginary part is used to obtain the low-frequency component map; the sparse weight matrix of the low-frequency component map is extracted with a sparse representation dictionary; according to the sparse weight matrix and the center preference image, two prominent images around the center are obtained; two prominent images around the center are blurred , and then fused to obtain a fused image; use the center preference image to strengthen the center of the fused image; the image around the center is enhanced to obtain a visually significant image after size conversion; the advantage is that it has strong extraction stability and high extraction accuracy.

The embodiment of the invention provides a method, a device and a system for displaying the position of a slave drone from master drone vision. The method comprises the following steps: acquiring theshooting image and the shooting direction information of a master drone; acquiring the positioning information of the master drone and at least one slave drone; calculating the coordinate informationof the slave drone in the shooting image according to the shooting direction information and the positioning information; and displaying the shooting image, and displaying the position of the slave drone in the shooting image according to the coordinate information. The position information of the slave drone in the view field of the slave drone through using the method, the device and the system.

The invention discloses a method for generating a target Gamma curve of a display, which comprises the following steps of designing a computing formula of a coefficient gamma: gamma=gammaB-(gammaB-gammaE)*[i / (L-1)]on the basis of a Gamma curve basic formula: Yi=(YMax-Ymin)*[i / (L-1)<gamma>+Ymin, and simultaneously, setting a value gamma B when the coefficient gamma corresponds to the Ymin and a value gamma E when the coefficient gamma corresponds to the YMax, and setting a power p for the gamma B to change to the gamma E so as to conveniently and accurately calculate and draw the target Gamma curve, wherein after verification by the display, the generated target Gamma curve is more accurate and smoother and can more accord with viewing habits of human eyes, the correction process of a characteristic Gamma curve is simplified, and the correction times are reduced. The method has simple and convenient data computing process and correct and reliable correction, is applicable to effective generation of the target Gamma curve of various displays, and is also applicable to other applications of the curve.

The invention belongs to the field of computer-generated holography and three-dimensional display, and particularly relates to a time-division multiplexing-based color holographic three-dimensional display method and system. By the display system, a multi-view two-dimensional image of a color target object is obtained by a method of CCD camera or computer graphics; a group of target images suitable for phase-type hologram calculation are generated after a preprocessing transformation process; a corresponding phase-type hologram is calculated by an iterative Fourier transform algorithm and is loaded to a spatial light modulator in a time-division manner; a synchronization control circuit controls red, green and blue three-color light sources to synchronously display in sequence; and three monochromatic holographic reconstructed images are generated on a reconstruction plane in a time-division manner, and corresponding reconstructed image pixels are directionally diffracted to the position at which a pixel-type nano grating is fixed to form different viewpoints, thereby obtaining multi-view color reconstructed images and achieving true color three-dimensional display. The hologram is quickly refreshed and loaded by combining the spatial light modulator, so that the multi-view real color full-parallax dynamic holographic three-dimensional reconstruction of the target object is achieved.

The present invention discloses a method and an apparatus for determining a plane in point cloud data, and an image superposition method and device. The method for determining the plane in point cloud data comprises: dividing the point cloud data into a plurality of sub data sets according to coordinates; determining a partial plane for each sub data set in the plurality of sub data sets; and fusing the partial planes corresponding to all the sub data sets and determining a global plane in the point cloud data, wherein the global plane comprises at least one plane. Since there is no need for multi-plane detection of point cloud data, the global plane in the point cloud data can be determined, so that the time taken in the step for multi-plane detection of point cloud data is saved and the processing speed for determining the plane in point cloud data is improved.